Yi Mei

Yi Mei profile picture

Senior Lecturer School of Engineering and Computer Science

Teaching in 2020



Homepage | Research | Publications | Supervision



  • I am looking for PhD/MSc/Honours/Summer Research students in Evolutionary Computation and Machine Learning for Scheduling and Combinatorial Optimisation. If you have the same research interests with me, please do not hesitate to contact me.

Research Interests

My research interests include artificial intelligence, machine learning and evolutionary computation. I'm particularly interested in use evolutionary computation to solve the most challenging problems encountered in the real world such as operations research, supply chain, smart city, scheduling and routing, cloud computing, etc. I am co-leading the strategic direction of evolutionary scheduling and combinatorial optimisation in the Evolutionary Computation Research Group (ECRG). My current research topics include
  • Evolutionary algorithms, memetic algorithms, genetic programming, particle swarm optimisation
  • Evolutionary multi-objective optimisation
  • Evolutionary combinatorial optimisation
  • Evolutionary dynamic optimisation, automatic heuristic design, hyper-heuristic
  • Evolutionary large scale optimisation, cooperative co-evolution
  • Evolutionary machine learning
  • Traveling salesman problem, traveling thief problem
  • Vehicle and arc routing problem, last-mile delivery
  • Job shop scheduling
  • Web service composition
  • Tourist trip planning
Details of my research topics can be found here.


Dr. Yi Mei is a Senior Lecturer at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation in scheduling, routing and combinatorial optimisation, as well as evolutionary machine learning, hyper-heuristics, genetic programming, feature selection and dimensional reduction.

Yi has more than 100 fully referred publications, including the top journals in EC and Operations Research (OR) such as IEEE TEVC, IEEE Transactions on Cybernetics, European Journal of Operational Research, ACM Transactions on Mathematical Software, and top EC conferences (GECCO). He won an IEEE Transactions on Evolutionary Computation Outstanding Paper Award 2017, and a Victoria University of Wellington Early Research Excellence Award 2018. As the sole investigator, he won the 2nd prize of the Competition at IEEE WCCI 2014: Optimisation of Problems with Multiple Interdependent Components. He serves as a Vice-Chair of the IEEE CIS Emergent Technologies Technical Committee, and a member of three IEEE CIS Task Forces and two IEEE CIS Technical Committees. He is an Editorial Board Member of International Journal of Bio-Inspired Computation, an Associate Editor of International Journal of Applied Evolutionary Computation, and a guest editor of a special issue of the Genetic Programming Evolvable Machine journal. He has organised a number of special sessions in international conferences such as IEEE CEC. He serves as a reviewer of over 30 international journals including the top journals in EC and OR. He was an Outstanding Reviewer for Applied Soft Computing in 2015 and 2017, and IEEE Transactions on Cybernetics in 2018.