School of Engineering and Computer Science

Recent and Upcoming Talks.

• 06/06/2025 Chunyu Wang: Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression
• 30/05/2025 Hengzhe Zhang: A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression
• 23/05/2025 Zhicheng Wu: Multitree GP-Based Feature Learning for Multimodal Medical Image Classification
• 16/05/2025 Luyao Zhu: Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling
• 09/05/2025 Yuye Zhang: Multimodal Image Classification Using Genetic Programming for Alzheimer’s Disease Diagnosis
• 02/05/2025 Zhuoyin Qiao: Preference-based Multi-objective Genetic Programming for Energy-efficient Dynamic Flexible Job Shop Scheduling
• 11/04/2025 Prof Ruibin Bai: Generative Hyper-heuristics for Online Transportation Optimization Problems Abstract
• 04/04/2025 Jigang Fan
• 28/03/2025 Rimas Mohamad Anfar: Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression
• 21/03/2025 Discussions
• 14/03/2025 Yifan Yang: Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
• 07/03/2025 Hengzhe Zhang: RAG-SR, retrieval-augmented generation for neural symbolic regression
• 28/02/2025 Hengzhe Zhang: Micro-Step Time-Series Regression: Insights from System Identification Using Symbolic Regression
• 21/02/2025 Xinxin Xu: Multi-tree GP for tugboat scheduling
• 14/02/2025 Yuan Tian: Generating (Semi-)Active Schedules for Dynamic Multi-mode Project
• 07/02/2025 Zhenshou Song: Surrogate-assisted EC
• 31/01/2025 Focus on conference deadlines, good luck for all !!!
• 24/01/2025 Rohit Duggal: Discussions on Rāpoi
• 17/01/2025 Skipped: students focus on conference deadlines
• 10/01/2025 Mengjie Zhang: Tips for writing papers
• 20/12/2024 PARTY, Merry Christmas and Happy New Year!
• 13/12/2024 Bocheng Lin: proposal rehearsal
• 06/12/2024 Hengzhe Zhang: Recent advancements in symbolic regression at top ML conference (ICML, NeurIPS, ICLR)
• 29/11/2024 Mańdziuk Jacek: Evolutionary Methods for Wildlife Conservation and Public Safety Abstract
• 22/11/2024 Mengjie Zhang: how to write a paper
• 15/11/2024 Taran John: Disease detection
• 08/11/2024 Benny Lin: proposal rehearsal
• 01/11/2024 Junhao Huang: ePADS: Efficient Perturbation-Aware Distinguishing Score for Zero-Shot NAS and Emrah Hancer: A methodology for forecasting green-lipped mussel settlement
• 25/10/2024 Zhixing Huang: Linear Genetic Programming with Trainable Primitives for Fish Nutrition Spectrum
• 18/10/2024 Hao Xie: Multi-label feature selection based on dual-graph and non-convex sparsity constraint and Luyao Zhu: Surrogate assisted GP for dynamic flexible job shop scheduling
• 11/10/2024 Lin Dong: proposal rehearsal and Ruiqi Chen: proposal rehearsal
• 04/10/2024 Sven Hartmann: Functional dependency, cardinality constraints, and Armstrong tables Abstract
• 27/09/2024 Zhuoyin Qiao: Triple competitive DE for global optimisation
• 22/09/2024 Yuan Tian: ECS PhD Student Welcome Pack Notes, presented in ECCO
• 20/09/2024 Nabeel Aslam: Deep Learning Approaches for Detecting Audio Deepfake: AVOVAE-Based solution for Fake News Detection, and Xiangling Chen: An order-aware adaptive iterative local search metaheuristic for multi-depot UAV pickup and delivery problem
• 13/09/2024 Guanqun AI: DRL based dynamic optimisation of bus timetable and Zhicheng Wu: Cross Modality Medical Image Segmentation Based on Domain Adaptation
• 06/09/2024 Hengzhe Zhang: P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization
• 30/08/2024 Discussions: dataset; goals/objectives VS conclusions VS contributions
• 23/08/2024 Ze Chen: PhD proposal rehearsal: Genomic Data
• 16/08/2024 Rehearsal of 2024 IEEE NZ Central Section Postgraduate Symposium
• 09/08/2024 Discussions on "how to do a good presentation" Notes
• 02/08/2024 Alberto Tonda: An Overview of Fundamental and Applied Research Topics in the MIA-PS lab
• 26/07/2024 Information share about WCCI and GECCO conferences
• 19/07/2024 GECCO workshop: Bilevel optimisation
• 12/07/2024 Prof. Yanan Sun from Sichuan University: My notes for submitting paper to top-tier AI conferences
• 05/07/2024 Hengzhe Zhang: Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression, and Jiahong Wei: EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation
• 28/06/2024 Public Holiday
• 21/06/2024 Bocheng Lin: Automated Design of State Transition Rules in Ant Colony Optimization by Genetic Programming: A Comprehensive Investigation
• 14/06/2024 Ambica Dixit: Cybersecurity in the Digital Banks
• 07/06/2024 Qi Chen: How to do experiments, and What results to present (Slides Here)
• 31/05/2024 Nimasha Herath: PhD proposal rehearsal: Machine learning for Geographic Information Systems
• 24/05/2024 Kaan Demir: Contemporary Issues in Multi-label Representation Learning: Consistency and Adversarial Training
• 17/05/2024 Rimas Mohamad Anfar: Feature Selection for GPSR based on Maximal Information Coefficient and Sharpley Values, and Shanshan Tang: Genetic programming with multi-task feature selection for Alzheimer's disease diagnosis
• 10/05/2024 Junwei Pang: Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules, and Yuan Tian: Learning Heuristics via Genetic Programming for Multi-mode Resource-constrained Project Scheduling
• 03/05/2024 Saining: Proposal rehearsal: Automated Algorithm Design for Large-scale Vehicle Routing Problem
• 26/04/2024 Yuan Tian: Proposal rehearsal: Genetic Programming for Multi-mode Resource-constrained Project Scheduling Problem
• 19/04/2024 Junwei Pang: Proposal rehearsal: Automatically evolving interpretable dispatching rules for dynamic flexible job shop scheduling using genetic programming
• 12/04/2024 Meng Xu: How to prepare a response
• 05/04/2024 Zhixing Huang: My PhD: LGP for DJSS
• 22/03/2024 Prof Guenther Raidl: Advances in Large Neighborhood Search for (Dynamic) Electric Dial-A-Ride Problems
• 15/03/2024 Discussions: the state-of-the-art, optimal solution, fitness/objectives, training/test, hyper-parameter/parameter, parameter tuning, independent runs for two-stage algorithms, proof
• 08/03/2024 Discussions: research goals/aims, research objectives/questions/hypothese, conclusions, contributions; unbalanced, imbalance; compared with, compared to; may/might, can/could, must, need
• 01/03/2024 Xiaocheng Liao: Traffic assignment with uncertain arrivals via genetic programming and Jigang Fan: Research on Intelligent Fault Diagnosis Methods for Rotating Machines
• 23/02/2024 Professor Steven L. Jacques: Skin optics: the connection between intrinsic properties of skin and the appearance of skin
• 16/02/2024 Prof. Bernhard Pfahringer: All you need is patience
• 09/02/2024 Thomas Bensky: Use of a Genetic Algorithm for class scheduling in a large Physics Department Abstract
• 02/02/2024 Benny Lin: Depth estimation for cutting tree branches
• 26/01/2024 Bocheng Lin: Ant Colony Optimisation
• 19/01/2024 Doug Oard: Balancing Information Protection and Information Access Abstract
• 12/01/2024 Mengjie Zhang: How to write a paper
• 08/12/2023 Ruwang Jiao: Feature selection for classification
• 01/12/2023 Jesse Wood: Rapid determination of bulk composition and quality of marine biomass in mass spectrometry
• 24/11/2023 Lin Dong: Mobile Robot Indoor Positioning and Path Planning
• 17/11/2023 Nimasha Herath: A flexible automated flood model for Sri Lankan rivers
• 10/11/2023 Gaige Wang: Recent Development of Intelligent Optimization and Scheduling Research Group Abstract
• 03/11/2023 How to do experiment? Slide
• 27/10/2023 Meng Xu: A semantic genetic programming approach to evolving heuristics for multi-objective dynamic scheduling
• 20/10/2023 Jiahong Wei: Neural Architecture Search for Retinal Vessel Segmentation
• 13/10/2023 Tapabrata Rohan Chakraborty: CHAI: Computational health and AI
• 06/10/2023 Ruiqi Chen: Deep reinforcement learning for job shop scheduling
• 29/09/2023 Ze Chen: Machine Learning for Genomic Fish Breeding : Finding Genetic Variants Related to Growth
• 22/09/2023 Carl McMillan: Computer Vision Mussel Farm Long Line Buoyancy Alert System
• 15/09/2023 Hengzhe Zhang: Automatically choosing selection opera-tor based on semantic information in evolutionary feature construction and Anjali de Silva: Leiden Fitness-based Genetic Algorithm with Niching for Community Detection in Large Social Networks
• 08/09/2023 Yuan Tian: Resource-Constrained Project Scheduling Problem---Basic Model & Extensions
• 01/09/2023 Paula Maddigan: Building a Dashboard that uses ChatGPT to explain the outputs of GP-NLDR (GP for Nonlinear Dimensionality Reduction)
• 25/08/2023 IEEE Symposium practice: Nimasha Herath, Jiahong Wei, Lin Dong, Ze Chen, Taran John
• 18/08/2023 Ziyi Sun: YOLO for instance segmentation of individual tree crowns
• 11/08/2023 Mengjie Zhang: How to write a paper
• 04/08/2023 Zhenshou Song: Balancing Different Optimization Difficulty Between Objectives in Multi-Objective Feature Selection
• 28/07/2023 Qinyu Wang: Genetic Programming with Region Detection for Fine-Grained Image Classification
• 21/07/2023 Taran John: A brief overview of the first chapter of thesis proposal
• 14/07/2023 Public Holiday
• 07/07/2023 Tong Guo: Learning-aided Neighborhood Search for Relief Logistics Routing
• 30/06/2023 Christian Raymond: Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning
• 23/06/2023 Zhixing Huang: Grammar-Guided Linear Genetic Programming for Dynamic Job Shop Scheduling
• 16/06/2023 Grant Dick: On the Similarities Between Geometric Semantic Genetic Programming and Boosting
• 09/06/2023 Jordan MacLachlan: Ambulance dispatching with genetic programming
• 02/06/2023 Peter Andreae (Pondy)'s farewell party
• 26/05/2023 Hayden Andersen: Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimisation
• 19/05/2023 Discussions: Genotype, phenotype (model), program output, fitness values, (vector of output, behaviour, semantic)
• 12/05/2023 Emrah Hancer: Feature selection and its applications
• 05/05/2023 Fengyang Sun: Proposal rehearsal: Estimation of Distribution Algorithms for loT Service Composition
• 28/04/2023 Hengzhe Zhang: Hot Trends in EuroGP 2023
• 21/04/2023 Zhengxin Fang: A Novel Group Genetic Algorithm for Resource Allocation in Container-based Clouds with Heterogeneous PMs
• 14/04/2023 Mohamad Rimas Mohamad Anfar: Machine Learning-Based Service Differentiation in the 5G Core Network
• 31/03/2023 Junhao Huang: Adaptive Light Estimation using Dynamic Filtering for Diverse Lighting Conditions
• 24/03/2023 Peng Wang: Feature Clustering Assisted Feature Selection
• 17/03/2023 Mengjie Zhang: How to Prepare a Full PhD Proposal
• 10/03/2023 Zhixing Huang: Bridging Directed Acyclic Graphs to Linear Representations in Linear Genetic Programming
• 03/03/2023 Kirita-Rose Escott: Cooperative Coevolutionary GPHH for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
• 24/02/2023 Ziyi Sun: Neural Architecture Design for Instance Segmentation of Tree Crowns in Aerial Imagery
• 17/02/2023 Hamish O'Keeffe: CNN-based instance segmentation for the assessment of mussels
• 10/02/2023 Hengzhe Zhang: MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning
• 03/02/2023 Jiabin Lin: AMTEA-based multi-task optimisation for multi-objective feature selection in classification
• 20/01/2023 Andy Song: Fast Evolutionary Neural Architecture Search with Predictor Abstract
• 13/01/2023 Mengjie Zhang: How to write a paper
• 09/12/2022 Ziyi Sun: PhD proposal rehearsal
• 02/12/2022 Yifan Yang：Dynamic Workflow Scheduling in Cloud Computing through Dual-Tree Genetic Programming with Adaptive Mutation
• 25/11/2022 Wolfgang Banzhaf: Q/A
• 18/11/2022 Qinyu Wang: PhD proposal rehearsal
• 11/11/2022 Christian Raymond: Learning Loss Functions via Meta-Learning
• 04/11/2022 Kaan Demir: Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-based Multi-label Feature Selection
• 28/10/2022 Wolfgang Banzhaf: Computational Evolution needs Guidance
• 21/10/2022 Hayden Andersen: The Julia Programming Language Slide
• 14/10/2022 Julie Blommaert from Plant and Food: Weird and wonderful genomes
• 07/10/2022 Zhixing Huang: My study on linear genetic programming: a brief review
• 30/09/2022 Meng Xu: MOEA/D with Genetic Programming for Multi-objective Dynamic Flexible Job Shop Scheduling
• 23/09/2022 Carlos Coello Coello: Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms
• 16/09/2022 Jordan MacLachlan: Genetic programming for emergency medical dispatch
• 09/09/2022 Junhao Huang: Particle Swarm Optimisation for Compact Neural Architecture Search for Image Classification
• 02/09/2022 Jiabin Lin: Evolutionary transfer learning for feature selection in classification
• 26/08/2022 Gonglin Yuan: An effective and efficient neural architecture search method based on performance predictor and weight inheritance
• 19/08/2022 Peng Wang: Differential Evolution Based Feature Selection: A Niching-based Multi-objective Approach
• 12/08/2022 Shaolin Wang: A MOGP with alpha dominance and archive for UCARP
• 29/07/2022 Bin Wang: Machine Learning/Data Science finally arrived in industry: Real-world ML/DS use cases
• 22/07/2022 Heitor Gomes: Stream data mining
• 15/07/2022 Mengjie Zhang: Discussions on different Types of GP and NN mechanism
• 08/07/2022 Ruwang Jiao: Solving Multi-objective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling
• 01/07/2022 Shaolin Wang: Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems
• 17/06/2022 Cuie Yang: Domain Adaptation
• 10/06/2022 Qurrat Ul Ain: Artificial Intelligence to Diagnose Skin Cancers
• 03/06/2022 Fangfang Zhang: Responding to Reviewers Slide
• 27/05/2022 Kevin Shedlock: Te Pataka Purorohiko: An overview of the ECS Māori Digital Lab Abstract
• 20/05/2022 Abdullah Mamun: Proposal rehearsal: Novel Autonomous Advanced Persistent Threat Detection System using Heterogeneous Honeypots and Artificial Intelligence
• 13/05/2022 Junhong Zhao: AI Effects (AIX) in Computer Graphics
• 06/05/2022 Discussions on EC process, writing motivations, contributions, conclusions, references, and how reviewers think?
• 29/04/2022 Xiaoying Sharon Gao: Text and Natural Language Processing
• 22/04/2022 Mengjie Zhang: PhD Proposal Writing
• 08/04/2022 Harith Al-Sahaf: Malware Analysis: Primer & Challenges
• 25/03/2022 Andrew Lensen: Genetic Programming, Explainability, and Interdisciplinary AI
• 18/03/2022 Qi Chen: Geometric Semantic Genetic Programming
• 11/03/2022 Hui Ma: Evolutionary Computation Approaches to Web Service Composition
• 04/03/2022 Fangfang Zhang: Genetic Programming for Job Shop Scheduling
• 25/02/2022 Bach Nguyen: Evolutionary Feature Reduction
• 18/02/2022 589 students' presentations: Jingjing Chen and Finn Schofield
• 11/02/2022 Terence Hikawai: From research office
• 04/02/2022 Ying Bi: Genetic Programming for Image Classification
• 28/01/2022 Bing Xue: Deep Learning for Image Classification
• 21/01/2022 Aaron Chen: Reinforcement Learning: a quick introduction
• 14/01/2022 Yi Mei: Interpretable AI
• 10/12/2021 Mengjie Zhang: Discussions on How to Write a Paper Notes
• 03/12/2021 Discussions on How to Write a Paper
• 19/11/2021 Discussions on search space, solution space, feature space, data space, task space, label space, et. al
• 12/11/2021 Ziyi Sun: Single Image Dehazing Based on the Physical Model and Deep Learning
• 29/10/2021 Qinyu Wang: A virtual try-on method based on GAN
• 22/10/2021 Kirita-Rose Escott: Data sovereignty with Maori-2
• 15/10/2021 Yifan Yang: Proposal rehearsal
• 08/10/2021 Taehyun Rhee: Current and Future Research at CMIC
• 01/10/2021 Kirita-Rose Escott: Data sovereignty with Maori-1 Slides
• 24/09/2021 Zhixing Huang: Proposal rehearsal
• 17/09/2021 Hayden Andersen: Explainable AI
• 10/09/2021 Dr Cuie Yang: transfer learning and domain adaptation
• 03/09/2021 Anjali de Silva
• 27/08/2021 Prof Mengjie Zhang: Genetic Programming Slides 1 and Slides 2
• 20/08/2021 10mins presentation: Zhiheng, Gonglin Yuan,
• 03/08/2021 10mins presentation: Jiabin, Nora, Zhixing, Junhao, Kirita
• 06/08/2021 Baligh Al-Helali: Discussion on PhD Thesis work
• 30/07/2021 Wenbin Pei: Discussion on PhD Thesis work
• 23/07/2021 CEC 2021 Keynote, Carlos Artemio Coello Coello: Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms
• 16/07/2021 CEC 2021 Keynote, Zbigniew Michalewicz: AI-based business applications and the EC research
• 09/07/2021 CEC 2021 Keynote, Xin Yao: When Everything Else Fails, Try Co-evolution
• 02/07/2021 Prof Mengjie Zhang: Genetic Programming
• 25/06/2021 Prof Mengjie Zhang: Genetic Programming
• 26/03/2021 Prof Mengjie Zhang: Genetic Programming
• 26/03/2021 Dr Andrew Lensen: Mining Feature Relationships in Data
• 19/03/2021 Peng Wang: Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification
• 12/03/2021 Harisu Abdullahi Shehu: Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images
• 05/03/2021 Fangfang Zhang : PhD thesis presentation
• 26/02/2021 Baligh Al-Helali: Discussions on Hybrid Algorithms
• 12/02/2021 Kevin Shedlock: Te Ruapekapeka Pa: A kaupapa māori case study research during the construction of the IT artifact
• 15/01/2021 Mengjie Zhang: How to write a paper
• 04/12/2020 Fangfang Zhang : Collaborative Multi-fidelity based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling
• 27/11/2020 Bach Nguyen : Transfer learning
• 20/11/2020 Qinglan Fan: PhD Proposal rehearsal: GP for image classification
• 13/11/2020 Andre Geldenhuis: Does compute - a quick intro to the Slurm Scheduler and the Rāpoi HPC
• 06/11/2020 Alex Gavryushkin: Algorithms for reconstructing cancer evolution from single-cell sequencing data
• 30/10/2020 Qi Chen: Journal paper publications
• 23/10/2020 Ying Bi : Thesis presentation and share experiences
• 16/10/2020 Peng Wang : PhD Proposal rehearsal: evolutionary multi-modal optimisation for feature selection in classification
• 09/10/2020 Discussions on new ways to dissiminate research including using Github for paper writting
• 02/10/2020 Mazhar Ansari Ardeh:Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problems.
• 25/09/2020 Baligh Al-Helali: Genetic Programming-based Selection of Imputation Methods in Symbolic Regression with Missing Values
• 18/09/2020 Discussions on explainability, interpretability and understandability
• 11/09/2020 Discussions on exploration and exploitation
• 04/09/2020 Ying Bi : evolving random forest
• 28/08/2020 IEEE NZ Central Section Student Symposium: Mahdi Abdollahi, Kosisochukwu Judith Madukwe, Ramya Anasseriyil Viswambaran, Kirita-Rose Escott, Harisu Abdullahi Shehu, Trevor Londt
• 21/08/2020 IEEE NZ Central Section Student Symposium: Shaolin Wang, Joao Guilherme Cavalcanti Costa, Peng Wang, Qinglan Fan, Gonglin Yuan
• 14/08/2020 IEEE NZ Central Section Student Symposium: Baligh Al-Helali, Mazhar Ansari Ardeh, Abubakar Siddique, Wenbin Pei, Soheila Sadeghiram, Fangfang Zhang
• 07/08/2020 Hoang Nguyen-Vo : Deep Learning for Bioinformatics
• 31/07/2020 Mazhar Ansari Ardeh: Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems.
• 17/07/2020 Harisu A. Shehu: Emotion Detection and its Effect on Decision-making.
• 26/06/2020 Joao Costa: Cluster-based Hyper-Heuristic for the Large-Scale Vehicle Routing Problem
• 19/06/2020 Mahdi Abdollahi: Ontology-guided data augmentation for medical document classification
• 12/06/2020 Baligh Al-Helali:Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data
• 12/06/2020 Bin Wang: Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
• 05/06/2020 Wenbin Pei: A Threshold-free Classification Mechanism in Genetic Programming for Unbalanced High-dimensional Classification
• 05/06/2020 Grad Abubakar Siddique: Lateralized Learning for Robustness Against Adversarial Attacks in a Visual Classification System
• 29/05/2020 Baligh Al-Helali: Multi-Tree Genetic Programming for Feature Construction-Based Domain Adaptation in Symbolic Regression with Incomplete Data
• 29/05/2020 Ghassem Narimani : Learning Wireless Channels and Signal Processing in Wireless Sensor Networks
• 22/05/2020 Kaan Demir : A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
• 15/05/2020 Hang Xu: Segmented Initialization and Offspring Modification in Evolutionary Algorithms for Bi-objective Feature Selection
• 15/05/2020 Yi Liu: Absumption and Subsumption based Learning Classifier Systems
• 08/05/2020 Trevor Londt: PhD Proposal rehearsal: Synthesis of Novel Character-level Convolutional Neural Networks using Developmental Evolutionary Deep Learning
• 01/05/2020 Ramya Anasseriyil Viswambaran: Evolving deep recurrent neural network using a variable-length genetic algorithm
• 01/05/2020 Yahui Jia: A Memetic Level-based Learning Swarm Optimizer for Large-scale Water Distribution Network Optimization
• 24/04/2020 Harisu Abdullahi Shehu : Adversarial Attack Resistance based Emotion Recognition using Facial Landmarks
• 24/04/2020 Qi Chen : Improving Symbolic Regression based on Correlation Between Residuals and Variables
• 17/04/2020 Ying Bi Genetic Programming-Based Feature Learning for Facial Expression Classification
• 17/04/2020 Trung Nguyen :Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks
• 03/04/2020 Shaolin Wang : A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems
• 03/04/2020 Mazhar Ansari Ardeh :Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems
• 27/03/2020 Joao Costa : Cluster-based Hyper-Heuristic for the Large-Scale Vehicle Routing Problem
• 27/03/2020 Ke Chen: Hybridising Particle Swarm Optimisation with Differential Evolution for Feature Selection in Classification
• 20/03/2020 Ramya Anasseriyil Viswambaran: Evolving deep recurrent neural network using a variable-length genetic algorithm
• 20/03/2020 Abubakar Siddique :Machine Learning Based on Cognitive Neuroscience
• 13/03/2020 Wenbin Pei : Automatically Developing Cost-sensitive Classifiers by Genetic Programming
• 06/03/2020 Baligh Al-Helali: Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data
• 28/02/2020 Shabbir Abbasi: PSO for feature selection for Ransomware detection (binary classification) and classification (multi-class classification of Ransomware families)
• 21/02/2020 FangfangZhang: Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling
• 14/02/2020 BoxingTan: A Group Genetic Algorithm for Resource Allocation in Container-based Clouds
• 14/02/2020 FangfangZhang: Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling
• 07/02/2020 Kosi: PhD Proposal rehearsal: Detection and Classification of Online Textual Hate Speech
• 31/01/2020 Harisu Abdullahi Shehu: Sentiment Analysis of Turkish Twitter Data using Polarity Lexicon and Artificial Intelligence
• 31/01/2020 Bo: fault diagnosis method of rolling bearing based on vibration signal
• 24/01/2020 Jiangshu Wei: Restricted Boltzmann Machine
• 24/01/2020 Guanqiang Gao: Differential Evolution with a Pattern-based Representation Scheme for Multi-Robot Coverage Path Planning
• 17/01/2020 Mengjie Zhang: How to write a paper
• 10/01/2020 Dr Wenlong Fu: GP for text mining
• 13/12/2019 Michael Winikoff: Multiagent Systems
• 06/12/2019 Qinglan Fan: Single-Image Super-Resolution based on Rational Fractal Interpolation
• 06/12/2019 Ben Evans: Regularised evolution and parameter free optimisation
• 29/11/2019 Samanel Azari: A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry
• 29/11/2019 Shaolin Wang: A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem
• 22/11/2019 Baligh Al-Helali: Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-dimensional Incomplete Data
• 22/11/2019 Wenbin Pei: A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification
• 15/11/2019 Shaolin Wang: Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem
• 15/11/2019 Qurrat Ul Ain: Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification
• 08/11/2019 Bach Nguyen: Multi-label feature selection using particle swarm optimization: novel local search mechanisms
• 08/11/2019 Chen Wang: Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm
• 01/11/2019 Kosisochukwu Madukwe: The Thin Line Between Hate and Profanity
• 01/11/2019 Bach Nguyen: Multi-label feature selection using particle swarm optimization: novel initialization mechanisms
• 25/10/2019 Baligh Al-Helali: GP for symbolic regression
• 25/10/2019 Damien O'Neill: GP for evolving deep neural networks
• 18/10/2019 3-min presentations: all.
• 11/10/2019 Bin Wang: PhD proposal trial --- Evolutionary Deep Learning for Image Classification
• 04/10/2019 Ying Bi: Genetic Programming with Image-Related Operators for Feature Learning to Image Classification
• 04/10/2019 Jiabin Lin: Multiobjective multitasking optimization based on incremental learning
• 27/09/2019 Miao Lu: Genetic programming for feature selection and construction in crop classification based on time series satellite image
• 27/09/2019 Dr Qurrat Ul Ain : Generating Knowledge-guided Discriminative Features Using Genetic Programming for Melanoma Detection
• 20/09/2019 Chen Wang :
• 20/09/2019 Abubakar Siddique : Machine Learning based on Cognitive Neuroscience
• 13/09/2019 Samantha Azari :A Post-processing Method for Improving the Results of de novo Peptide Sequencing Using Genetic Programming
• 13/09/2019 Boxiong Tan : A Cooperative Coevolution Genetic Programming Hyper-Heuristic Approach for Online Resource Allocation in Container-based Clouds
• 06/09/2019 Shima Afzali : An automatic feature construction method for salient object detection: A genetic programming approach
• 06/09/2019 Fangfang Zhang : Evolving Scheduling Heuristics via Genetic Programming with Feature Selection in Dynamic Flexible Job Shop Scheduling
• 30/08/2019 Qi Chen: Instance-Based Transfer Learning in Genetic Programming for Symbolic Regression
• 30/08/2019 Hoai Bach Nguyen: A hybrid evolutionary computation approach to induce transfer classifiers for domain adaptation
• 16/08/2019 Yahui Jia : Evolutionary Combinatorial Optimisation
• 09/08/2019 Samantha Azari Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches
• 09/08/2019 Mazhar Ansari Ardeh Genetic Programming Hyper-Heuristic with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem
• 02/08/2019 Bin Wang :A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
• 02/08/2019 Mahdi Abdollahi
• 26/07/2019 3-Mins Thesis Competition -- Presenters: Truong, Fangfang, Chen, Abubakar, Ying
• 19/07/2019 3-Mins Thesis Competition -- Presenters: Ain, Shima, Miao, Sharon
• 12/07/2019 3-Mins Thesis Competition -- Presenters: Samantha, Hang, Ke, Kosi, Ramya, Jiabin, Baligh, Marzhar, Damien, Yi, Mahdi, Tony
• 05/07/2019 Fangfang Zhang
• 05/07/2019 Bin Wang : Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
• 28/06/2019 Yi Liu Absumption to Complement Subsumption in Learning Classifier Systems
• 28/06/2019 Grad Trung Nguyen GECCO 2019
• 14/06/2019 Several Important Visitors from CEC
• 07/06/2019 Samantha Azari: Learning to Rank Peptide-Spectrum Matches Using Genetic Programming
• 07/06/2019 Ying Bi: An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification
• 07/06/2019 Mahdi Abdollahi: An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation
• 31/05/2019 Tao Shi: A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment
• 31/05/2019 Mazhar Ansari Ardeh: Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem
• 24/05/2019 Wenbin Pei: New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data
• 24/05/2019 Ramya Anasseriyil : Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition
• 17/05/2019 Fangfang Zhang: Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
• 17/05/2019 Chen Wang: Evolutionary Multitasking for Semantic Web Service Composition
• 10/05/2019 Trung Nguyen: Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction
• 10/05/2019 Dr Qurrat Ul Ain : Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection
• 03/05/2019 Tony Zhang : XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems
• 03/05/2019 Boxiong Tan : A Hybrid Genetic Programming Hyper-Heuristic Approach for On-line Two-level Resource Allocation in Container-based Clouds
• 26/04/2019 Soheila Sadeghiram :Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm
• 26/04/2019 Qi Chen: Instance based Transfer Learning for Genetic Programming for Symbolic Regression
• 05/04/2019 Samantha Azari : GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm
• 29/03/2019 Shima Afzali : Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection
• 22/03/2019 How to review papers?
• 15/03/2019 Fangfang Zhang : Genetic Programming for Job Shop Scheduling ?
• 08/03/2019 Damien O'Neill : PhD proposal rehearsal seminar
• 01/03/2019 Andrew Lensen : Can Genetic Programming Do Manifold Learning Too?
• 22/02/2019 Prof Mengjie Zhang Evolutionary Machine Learning
• 08/02/2019 Prof Will Browne Body Languages in Presentations
• 07/12/2018: Tao Shi: Multi-Objective Container Consolidation in Cloud Data Centers
• 07/12/2018: Chen Wang: Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm
• 30/11/2018: Baligh Al-Helali: A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values
• 23/11/2018: Boxiong Tan: A Genetic Programming Hyper-heuristic Approach for online Resource Allocation in Container-based Clouds
• 23/11/2018: Fangfang Zhang: Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling
• 16/11/2018: Wenbin Pei: Genetic Programming based on granular Computing for High-dimensional data in Classification
• 16/11/2018: Fangfang Zhang: Surrogate-assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling
• 09/11/2018: Ying Bi: A Gaussian Filter-based Feature Learning Approach Using Genetic Programming to Image Classification
• 02/11/2018: Chen Wang:
• 02/11/2018: Bin Wang: A Hybrid DE Approach to Designing CNN for Image Classification
• 26/10/2018: Atiya Masood: Adaptive Reference Point Generation for Many-Objective Optimization using NSGA-III
• 26/10/2018: Yi Liu: Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches
• 19/10/2018: Damien O'Neill: Co-Evolution of Novel Tree-like ANNs and Activation Functions: An Observational Study
• 19/10/2018: Cao Truong Tran: Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data
• 12/10/2018: Fangfang Zhang: PhD Proposal seminar rehearsal
• 05/10/2018: John Park: Damien O'Neill, Bing Xue and Mengjie Zhang Co-Evolution of Novel Tree-like ANNs and Activation Functions: An Observational Study
• 05/10/2018: Mahdi Abdollahi: Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes
• 28/09/2018 Prof Mengjie Zhang: How to write PhD proposals
• 21/09/2018 Liam Sutton and Adrian Evans from VicLink: IP/patent search Slides
• 14/09/2018 Cao Truong Tran : statistical significance tests
• 07/09/2018 Yanan : Evolutionary Deep Learning
• 31/08/2018 Binh Tran : Experiment design
• 24/08/2018 Soheila Sadeghiram PhD Proposal seminar rehearsal
• 17/08/2018 Yi Liu: PhD Proposal seminar rehearsal
• 10/08/2018 COMP489 Progress Presentations
• 27/07/2018 Abubakar Siddique PhD Proposal seminar rehearsal
• 20/07/2018 Soheila Sadeghiram PhD Proposal seminar rehearsal
• 13/07/2018 Dr Qurrat Ul Ain: Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification
• 06/07/2018 Prof Mengjie Zhang How to Do Fast Writing and Last-minute Writing
• 29/06/2018 Data Science - Callaghan Innovation, Joint Seminar with ECRG
• 22/06/2018 Bin Wang: Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
• 15/06/2018 Benjamin Evans: Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification
• 08/06/2018 Alexandre Sawczuk Da Silva: A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition
• 08/06/2018 Ying Bi: Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification
• 01/06/2018 Samantha Azari: Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification
• 01/06/2018 Yanan Sun : An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders
• 25/05/2018 Xiu Cheng : CEC2018 paper
• 18/05/2018 Andrew Lensen : Automatically Evolving Difficult Benchmark Feature Selection Datasets with Genetic Programming
• 11/05/2018 Yiming Peng: Constrained Expectation-Maximization Methods for Effective Reinforcement Learning
• 11/05/2018 Yiming Peng: NEAT for Large-Scale Reinforcement Learning through Evolutionary Feature Learning and Policy Gradient Search
• 04/05/2018 Prof. Juergen.Branke Integrating Preferences into Evolutionary Multiobjective Optimisation
• 27/04/2018 Hoai Bach Nguyen: A Particle Swarm Optimization based Feature Selection Approach to Transfer Learning in Classification
• 20/04/2018 Trung Nguyen: PhD Proposal seminar rehearsal
• 06/04/2018 Soheila Sadeghiram :
• 06/04/2018 Damien O'Neill: Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering
• 23/03/2018 Ying Bi: An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming
• 16/03/2018 Ying Bi: PhD Proposal seminar rehearsal
• 09/03/2018 Yi Liu : Adapting Bagging and Boosting to Learning Classifier Systems
• 09/03/2018 A/Prof Yi Mei : Genetic Programming Hyper-heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling
• 02/03/2018 Atiya Masood :Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling
• 02/03/2018 John Park :Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling
• 15/02/2018 Prof. Zhi-Hua Zhou: Deep Forest: A preliminary exploration to non-NN style deep learning
• 09/02/2018 Baligh Al-Helali and Fangfang Zhang: Past Research in Masters and Future work in PhD
• 02/02/2018 Mahdi Abdollahi: Past Research in Masters and Future work in PhD
• 26/01/2018 Abubakar Siddique and Summer Research Students:
• 19/01/2018 Prof Bing Xue: Training, Validation, and Test sets, and ECRG Research
• 12/01/2018 Dr Wenlong Fu： Feature Extraction Using Genetic Programming for High Dimensional Sparse Data
• 12/01/2018 Dr Juan Rada-Vilela : The FuzzyLite Libraries for Fuzzy Logic Control (www.fuzzylite.com)
• 14/12/2017 Prof Mengjie Zhang How to write a paper ?
• 08/12/2017 Prof. Mario Koeppen: Generalized Optimization in Social Computing
• 08/12/2017 Dr Andy Song: The World AI: Current State, Strategies, and Industry Needs
• 03/11/2017 Boxiong Tan : PhD seminar rehearsal
• 27/10/2017 Xiu Cheng : PhD seminar rehearsal
• 20/10/2017 Andrew Lensen: New Representations in Genetic Programming for Feature Construction in k-means Clustering
• 20/10/2017 Chen Wang : GP-Based Approach to Comprehensive quality-aware automated semantic Web service composition
• 13/10/2017 Yiming Peng : Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction
• 13/10/2017 Qi Chen : Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression
• 06/10/2017 Harith Al-Sahaf :A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors
• 06/10/2017 Hoai Bach Nguyen :A Hybrid GA-GP Method for Feature Reduction in Classification
• 29/09/2017 Yi Liu : Parallel Computing for Evolutionary Computation (Slides Here)
• 22/09/2017 Dr Wei Gao: Learning to detect rumours on Twitter (Slides Here)
• 15/09/2017 Prof Will Browne, Dr Aaron Chen and Yiming Peng: Discussions on reinforcement learning
• 08/09/2017 Prof Mengjie Zhang How to write a paper?
• 01/09/2017 Dr Qurrat Ul Ain: (PhD proposal seminar rehearsal) Feature Manipulation using Genetic Programming for Medical Image Classification
• 15/08/2017 Prof Carlos Coello Coello: Evolutionary Multi-Objective Optimization using Hybrid Approaches Details here
• 11/08/2017 Chen Wang PhD proposal
• 04/08/2017 Binh Tran Particle Swarm Optimisation and Statistical Clustering for Feature Selection
• 04/08/2017 Yiming Peng Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching
• 30/06/2017 Deepak Karunakaran Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty
• 23/06/2017 Cao Truong Tran: Multiple Imputation and Genetic Programming for Classification with Incomplete Data
• 23/06/2017 Andrew Lensen: GPGC: Genetic Programming for Automatic Clustering using a Flexible Non-Hyper-Spherical Graph-Based Approach
• 16/06/2017 Samantha Azari: PhD proposal presentation (practice)
• 09/06/2017 GECCO poster presentations: Qi Chen, Andrew Lensen, Yiming Peng, Hoai Bach Nguyen, Yuyu Liang
• 02/06/2017 Alexandre Sawczuk Da Silva Fragment-based Genetic Programming for Fully Automated Multi-Objective Web Service Composition
• 26/05/2017 Yuxin Liu: Automated Heuristic Design Using Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem
• 19/05/2017 Cao Truong Tran: Genetic Programming based Feature Construction for Classification with Incomplete Data
• 19/05/2017 Damien O'Neill: Common Subtrees in Related Problems: A Novel Transfer Learning Approach for Genetic Programming
• 12/05/2016 Shima Afzali: PhD proposal presentation (trying)
• 05/05/2016 Boxiong Tan: A NSGA-II-based Approach for Web Service Resource Allocation On Cloud
• 28/04/2017 Dr Qurrat Ul Ain: Genetic Programming for Skin Cancer Detection In Dermoscopic Images
• 28/04/2017 Hoai Bach Nguyen : Particle Swarm Optimisation with Genetic Operators for Feature Selection
• 21/04/2017 Deepak Karunakaran Evolving Dispatching Rules for Dynamic Job Shop Scheduling with Uncertain Processing Times
• 07/04/2017 Prof Mengjie Zhang How to write a paper ? how to form initial ideas?
• 31/03/2016 Hoai Bach Nguyen: Surrogate-model based Particle Swarm Optimisation with Local Search for Feature Selection in Classification
• 27/03/2016 Andrew Lensen: An Evolutionary Feature Reduction Approach to Clustering(PhD seminar)
• 24/03/2016 Cao Truong Tran: Bagging and Feature Selection for Classification with Incomplete Data
• 24/03/2016 Will Browne: How to write contributions in proposal or thesis
• 17/03/2016 Andrew Lensen: An Evolutionary Feature Reduction Approach to Clustering
• 10/03/2017 Binh Tran: Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data
• 10/03/2017 Tony Zhang : Affective Computing Multilayer Cognitive Architecture (PhD seminar)
• 03/03/2017 Tony Zhang : Affective Computing Multilayer Cognitive Architecture
• 24/02/2017 A/Prof Yi Mei: Genetic Programming for Job Shop Scheduling
• 17/02/2017 Andrew Lensen: Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering
• 27/01/2017 Pro. Emma Hart: Artificial Immune System
• 20/01/2017 Pro. Emma Hart: Ensemble Based Optimisation Methods for Combinatorial Optimisation
• 12/12/2016 Pro. Gary Yen:Many-Objective Evolutionary Algorithms- Visualization And Decision-Making
• 01/12/2016 Ying Bi: BFO for Job Shop Scheduling
• 02/12/2016 Dr Yu Xue: Self-adaptive evolutionary computation for feature selection in classification
• 25/11/2016 John Park : Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown
• 23/11/2016 Prof Jun Wang : The State of the Art of Neurodynamic Optimization: Past, Present, and Prospect
• 18/11/2016 Andrew Lensen: Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection
• 18/11/2016 Saeed Mirghasemi: Severely Noisy Image Segmentation via Wavelet Shrinkage Using PSO and Fuzzy C-Means
• 11/11/2016 Deepak Karunakaran Dynamic Job Shop Scheduling UnderUncertainty Using Genetic Programming
• 11/11/2016 Binh Tran: Multiple Feature Construction in High-Dimensional Data Using Genetic Programming
• 04/11/2016 Atiya Masood : A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling
• 28/10/2016 Everyone in ECRG: Tell us your research project in Three Minutes
• 21/10/2016 Martin Mikula: Sentiment analysis Slides here
• 14/10/2016 Prof Bing Xue : Evolutionary Multi-objective Optimisation ( Slides here)
• 07/10/2016 Harith Al-Sahaf : Experiment Setup ( Slides here)
• 23/09/2016 A/Prof Yi Mei and Ivy Liu : Statistical Signifincance tests ( Slides here)
• 16/09/2016 Hassan Tariq : Introduction to Bioinformatics
• 09/09/2016 Cao Truong Tran : Multiple Imputation and Ensemble Learning for Classification with Incomplete Data
• 02/09/2016 Dr Su Nguyen : Genetic Programming for Job Shop Scheduling
• 26/08/2016 IEEE Postgraduate Student Presentation Event Presentations -- practice (Presenters: )
• 19/08/2016 IEEE Postgraduate Student Presentation Event Presentations -- practice (Presenters: Hoai Bach Nguyen, Qi Chen, Cao Truong Tran, Yiming Peng, Alexandre Sawczuk Da Silva, Binh Tran, Yuyu Liang)
• 12/08/2016 Discussions to GECCO and WCCI
• 09/08/2016 Yiming Peng: PhD proposal seminar
• 05/08/2016 Yiming Peng: PhD proposal seminar -- practice
• 29/07/2016 Qurrat Ul Ain: Past research
• 22/07/2016 Hoai Bach Nguyen: A new binary particle swarm optimisation method
• 15/07/2016 Jiatong Huo: Search Based Software Testing: Multi-Objective Test Data Generation with Genetic Programming
• 08/07/2016 Dr Grant Dick: Symbolic Regression ...
• 01/07/2016 Shima Afzali: Basic Image Feature Extration Operators
• 01/07/2016 Cao Truong Tran: Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions
• 24/06/2016 Isidro Alvarez: Code-fragment Learning Classifier Systems
• 17/06/2016 Professor Hisao Ishibuchi: Implementation of Multi-Objective Memetic Algorithms
• 16/06/2016 Professor Hisao Ishibuchi:Evolutionary Many-Objective Optimization: Difficulties and Future Directions
• 10/06/2016 Samantha Azari
• 10/06/2016 Tony Zhang: LCS
• 03/06/2016 Qi Chen: Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation
• 27/05/2016 Isidro Alvarez: Learning Classifier Systems
• 27/05/2016 Dr Muhammad Iqbal: Transfer Learning in Genetic Programming for Image Classification
• 20/05/2016 Qi Chen: Improving Generalisation of Genetic Programming for High-Dimensional Symbolic Regression with Feature Selection
• 20/05/2016 Dr Muhammad Iqbal: Transfer Learning in Genetic Programming for Image Classification
• 13/05/2016 Atiya Masood : Many-Objective Genetic Programming for Job-Shop Scheduling (Proposal try seminar)
• 06/05/2016 A/Prof Xiaodong Li: Recent Advances in Multimodal Optimization using Niching Methods
• 05/05/2016 A/Prof Xiaodong Li: Large-Scale Global Optimisation
• 22/04/2016 Binh Tran: A PSO Based Hybrid Feature Selection Algorithm For High-Dimensional Classification
• 22/04/2016 Yuyu Liang: Genetic programming for image segmentation
• 15/04/2016 Alexandre Sawczuk Da Silva Memetic Algorithm for Web Service Location Allocation
• 08/04/2016 Yiming Peng Tips for writing
• 08/04/2016 Muhammad Iqbal Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems
• 01/04/2016 Everyone in ECRG: 3 mins to tell the group briefly about a paper
• 25/03/2016
• 18/03/2016 A/Prof Yi Mei Particle Swarm Optimization for Multi-Objective Web Service Location Allocation
• 11/03/2016 Hoai Bach Nguyen: Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization
• 11/03/2016 Andrew Lensen: Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data
• 04/03/2016 Cao Truong Tran: A Genetic Programming-based Imputation Method for Classification with Missing Data
• 04/03/2016 Alexandre Sawczuk Da Silva : Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition
• 26/02/2016 John Park : Genetic Programming based Hyper-heuristics to Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches
• 26/02/2016 Isidro Alvarez : Code Fragment Learning Classifier Systems
• 19/02/2016 Binh Tran: Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features For High-Dimensional Classification
• 19/02/2016 Cao Truong Tran: A Wrapper Feature Selection Approach to Classification with Missing Data
• 5/02/2016 Free discussion within ECRG
• 29/01/2016 Saeed Mirghasemi: Noisy Image Segmentation Using Particle Swarm Optimization
• 28/01/2016 Hoai Bach Nguyen: PhD Proposal Seminar : Evolutionary Computation for Filter Feature Reduction in Classification
• 22/01/2016 Hoai Bach Nguyen: PhD Proposal seminar practice
• 15/012016 Professor Igor Ã…Â krjanc - Computational Intelligence in Control
• 4/12/2015 Deepak Karunakaran: A genetic programming based hyper-heuristic approach to dynamic job shop scheduling problem under uncertainty
• 27/11/2015 Prof Yongsheng Gao: Vision Perception for Environmental Informatics Details can be seen here
• 20/11/2015 Dr Jianbin Ma: Authorship Attribution.
• 13/11/2015 Harith Al-Sahaf: A Hybrid Genetic Programming Approach to Feature Detection and Image Classification
• 06/11/2015 Isidro Alvarez: Compaction for Code Fragment Based Learning Classifier Systems
• 30/10/2015 Saeed Mirghasemi: A Heuristic Solution for Noisy Image Segmentation Using Particle Swarm Optimization and Fuzzy Clustering
• 27/10/2015 Dr Kamran Shafi: Learning Classifier Systems: Can We Carry on with the Legacy of John Holland? Details can be seen here
• 23/10/2015 Dr Andy Song Evolutionary Computation for Complex Real-world Problems: Details can be seen here
• 16/10/2015 Everyone in ECRG: IEEE Postgraduate Presentation Event
• 09/10/2015 Everyone in ECRG: IEEE Postgraduate Presentation Event
• 02/10/2015 Dr Muhammad Iqbal: Introduction to Learning Classifier System introLCS.pptx
• 25/09/2015 A/Prof Yi Mei and Prof Bing Xue : Introduction to Evolutionary Multi-objective Optimisation II : EMONSGAII_and_SPEA2.pdf
• 18/09/2015 A/Prof Yi Mei and Prof Bing Xue : Introduction to Evolutionary Multi-objective Optimisation I EMO.pdf; EMO_part2.pdf
• 16/09/2015 Prof Yanchun Zhang : Medical Data Mining and Innovative Applications ( See Abstract here)
• 11/09/2015 Dr Muhammad Iqbal: Introduction to Learning Classifier System
• 04/09/2015 Prof Carlos Coello Coello: Recent Results and Open Problems in Evolutionary Multiobjective Optimization: talk-wellington-2015.pdf
• 28/08/2015 A/Prof Yi Mei: Large Scale and Dynamic Evolutionary Scheduling
• 14/08/2015 Prof Will Browne: Discussions on EMO
• 07/08/2015 Judyta Cichocka: Evolutionary Computation and Architecture Design
• 06/08/2015 John Park: PhD Proposal Seminar: Evolving Dispatching Rules for Dynamic Job Shop Scheduling Problems using Genetic Programming
• 31/07/2015 Prof Mengjie Zhang: How to write a paper ?
• 30/07/2015 Qi Chen: PhD Proposal Seminar: Genetic Programming for Symbolic Regression
• 24/07/2015 John Park: PhD Proposal Seminar Practise: Evolving Dispatching Rules for Dynamic Job Shop Scheduling Problems using Genetic Programming
• 21/07/2015 Alexandre Sawczuk Da Silva : PhD Proposal Seminar: MultifacetedWeb Service Composition
• 17/07/2015 Everyone in ECRG: Tell us your research project in Three Minutes
• 10/07/2015 Everyone in ECRG: Tell us your research project in Three Minutes
• 24/06/2015 Cao Truong Tran: PhD Proposal Seminar: Multiple Imputation for Missing Data using Genetic Programming
• 12/06/2015 Muhammad Ghifary: Introduction to Domain Adaptation
• 04/06/2015 Prof. KC Tan An Introduction to Computational Intelligence
• 92/05/2015 Harith Al-Sahaf: Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction
• 22/05/2015 Cao Truong Tran: Multiple Imputation for Missing Data using Genetic Programming
• 22/05/2015 Abdul Wahid: Multi-View Clustering of Web Documents using Multi-Objective Genetic Algorithm.
• 15/05/2015 Hoai Bach Nguyen: Swarm Intelligence Algorithms
• 15/05/2015 Qi Chen: GP for Symbolic Regression
• 08/05/2015 Dr Roman Klapaukh: Introduction to R
• 01/05/2015 Qi Chen: GP and Gradient Decent for Symbolic Regression in Domain adaptation
• 24/04/2015 A/Prof Hui Ma: F-MOGP: A Novel Many-Objective Evolutionary Approach to QoS-Aware Data Intensive Web Service Composition
• 17/04/2015 Yuyu Liang: PhD proposal seminar: Figure-ground image segmentation using GP
• 10/04/2015 Harith Al-Sahaf: Genetic Programming for Algae Detection in River Images
• 27/03/2015 Alexandre Sawczuk Da Silva : A GP Approach to QoS-Aware Web Service Composition including Conditional Constraints
• 27/03/2015 Harith Al-Sahaf: Image Descriptor: A Genetic Programming Approach to Multiclass Texture Classification
• 20/03/2015 Cao Truong Tran : Impact of Imputation of Missing Values on Genetic Programming based Multiple Feature Construction for Classification
• 20/03/2015 Prof Bing Xue: Particle Swarm Optimisation for Feature Selection: A Hybrid Filter-Wrapper Approach
• 13/03/2015 Yuyu Liang: Genetic Programming based Image Segmentation using Low-level Features
• 13/03/2015 Prof Bing Xue: Gaussian Transformation based Representation in Particle Swarm Optimisation for Feature Selection
• 06/03/2015 John Park: Evolving Ensembles of Dispatching Rules using Genetic Programming for Job Shop Scheduling
• 06/03/2015 Rachel Hunt: Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling
• 16/02/2015 Prof Manuel Ujaldón: GPU computing: Achievements and perspectives with an emphasis on evolutionary computation. Slides
• 13/02/2015 Dr George Barmpalias Information Theory
• 12/02/3014 Prof Will Browne: How to make a poster ?
• 30/01/2015 Prof Bing Xue: Evolutionary Computation for Feature Selection
• 27/01/2015 Binh Tran: Evolutionary Computation for Feature Manipulation in High-dimensional Data (Proposal Seminar)
• 23/01/2015 Dr Ivy Liu: Statistical Test, and Open discussions how to run experiments (data splitting and multiple runs of an algorithm)
• 16/01/2015 Binh Tran: Evolutionary Computation for Feature Manipulation in High-dimensional Data (Proposal Trail)
• 10/12/2014 Kevin Korb: The Evolution of Utility, Or Why Is Sex Fun?
• 28/11/2014 Richard Marshall: Hyper-heuristics, Grammatical Evolution and the Capacitated Vehicle Routing Problem
• 28/11/2014 Yuyu Liang: Image Segmentation: A Survey of Methods based on Evolutionary Computation
• 21/11/2014 Emrah Hançer: Artificial Bee Colony
• 21/11/2014 Cao Truong Tran : Missing data and imputation approaches
• 14/11/2014 Yang Yu: A Hybrid GP-Tabu Approach to QoS-aware Data Intensive Web Service Composition
• 14/11/2014 Harith Al-Sahaf: Genetic Programming for Multiclass Texture Classification using a Small Number of Instances
• 07/11/2014 Alexandre Sawczuk Da Silva : A GP Approach to QoS-Aware Web Service Composition and Selection
• 31/10/2014 John Park: Enhancing Heuristics for Order Acceptance and Scheduling using Genetic Programming
• 31/10/2014 Isidro Alvarez: On Learning the Hidden Multiplexer by Reusing Learned Functionality
• 24/10/2014 Masaya Nakata: Learning Classifier Systems
• 24/10/2014 Qi Chen:Genetic Programming for Symbolic Regression
• 17/10/2014 Soha Ahmed: Genetic Programming for Measuring Peptide Detectability
• 17/10/2014 Richard Marshall: Hyper-heuristics, Grammatical Evolution and the Capacitated Vehicle Routing Problem
• 10/10/2014 Muhammad Ghifary: Face Recognition using Evolutionary Techniques and Probability Approaches
• 10/10/2014 Binh Tran: Improved PSO for Feature Selection on High-Dimensional Datasets
• 03/10/2014 Harith Al-Sahaf: Genetic Programming for Multiclass Texture Classification using a Small Number of Instances
• 03/10/2014 Syed Saud Naqvi: Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency
• 17/09/2014 Prof. Sven Hartmann: "NP" hard problems, slides are here: <a href='http://ecs.victoria.ac.nz/foswiki/pub/Groups/ECRG/Talks/TalkNP_publish.pdf' targe