Weekly Group Meetings
The ECCO research group hosts weekly group meeting at 2-3pm, Wednesdays, in CO350, Cotton Building, Kelbourn Campus. The talks of the weekly meetings are as follows.2024
- 2024-06-05: Bocheng Lin
- 2024-05-29: Jiyuan Pei
- 2024-05-22: Ruiqi Chen
- 2024-05-15: Yifan Yang: Quick Review: Graph Neural Networks in Deep Reinforcement Learning Methods for Job Shop Scheduling
- 2024-05-08: Amer Saeed: Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing
- 2024-05-01: Junwei Pang: practice proposal seminar
- 2024-04-24: Fengyang Sun: discussions on EDA
- 2024-04-17: Yuan Tian: proposal seminar practice
- 2024-04-10: Anjali de Silva
- 2024-04-03: Ya Shen
- 2024-03-27: Meng Xu
- 2024-03-20: Tong Guo
- 2024-03-13: Bocheng Lin: generative AI and LLM
- 2024-03-06: Saining Liu: PhD proposal objectives
- 2024-02-28: Junwei Pang: PhD proposal objectives
- 2024-02-21: Yuan Tian: PhD proposal objectives
- 2024-02-14: The group discusses about EC and other techniques for combinatorial optimisation
- 2024-02-07: Hisao Ishibuchi: Algorithm Design and Algorithm Evaluation for Evolutionary Multi-Objective Optimization
- 2024-01-31: Thomas Bensky and the group: tips in academic writing.
- 2024-01-24: Zhixing Huang to present recent work.
- 2024-01-17: Zaixing Sun to present recent work.
- 2024-01-10: The group catches up in the new year.
2023
- 2023-12-13: Longfei Yan
- 2023-12-06: Shaojin Geng
- 2023-11-29: Xinxin Xu shares the optimisation of tugboat scheduling using GP.
- 2023-11-22: Yuquan Wang
- 2023-11-15: Zhengxin Fang practices his PhD proposal presentation.
- 2023-11-08: Hengzhe Zhang shares tips and tricks on imlementing genetic programming in Python/DEAP.
- 2023-11-01: Yuan Tian shares experience about useful tools and tips for improving research efficiency.
- 2023-10-25: Yifan Yang introduces the paper "Job shop scheduling via graph neural network and deep reinforcement learning".
- 2023-10-18: Meng Xu introduces her recent work on GP with QD optimisation: Map-Elites.
- 2023-10-11: Long Chen introduces his previous work on railway inspection problem.
- 2023-10-04: Zhengxin Fang practices on his PhD proposal.
- 2023-09-27: Ruiqi Chen introduces Google DeepMind's AlphaDev.
- 2023-09-20: Amer Saeed practices his PhD proposal seminar.
- 2023-09-13: The group watches the video Deep reinforcement learning for online combinatorial optimisation.
- 2023-09-06: Zhixing Huang shares two papers on DRL for D(F)JSS.
- 2023-05-03: Yuan Tian shares the work on multi-skill resource constraint project scheduling problem.
- 2023-04-26: Hengzhe Zhang shares the papers on EvoStar2023.
- 2023-04-19: Yifan Yang talks about genetic programming for workflow scheduling.
- 2023-04-12: Amer Saeed talks about his proposed PhD research objectives.
- 2023-04-05: Fengyang Sun practices his PhD proposal presentation.
- 2023-03-29: Amer Saeed talks about his proposed PhD research objectives.
- 2023-03-22: Zhengxin Fang talks about his previous work.
- 2023-03-15: Zhixing Huang talks about his recent work on multi-representation GP.
- 2023-03-08: Dr. Chen Wang talks about their recent paper on GP for dynamic cloud resource allocation.
- 2023-03-01: Meng Xu talks about her recent work published on IEEE Transactions on Evolutionary Computation “GP with lexicase selection for dynamic scheduling”.
- 2023-02-22: Anjali de Silva talks about her recent work.
- 2023-02-15: The group discusses about genotype vs phenotype in evolutionary algorithms.
- 2023-02-08: Hengzhe Zhang talks about Bloat Control Techniques in GP (Past, Present and Future).
- 2023-02-01: Shaolin Wang talks about explaining GP-evolved routing policies.
- 2023-01-25, Joao Costa introduces how to link Java with Python.
- 2023-01-18, Fengyang Sun practices his PhD proposal presentation.
- 2023-01-11, Jordan MacLachlan practices his PhD proposal presentation.