World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8538
World Ranking
6853
National Ranking
17

Overview

Yi Mei is affiliated with Victoria University of Wellington in New Zealand and has an established publication record primarily in computer science and engineering. Their research spans several subfields including artificial intelligence, industrial and manufacturing engineering, computational theory and mathematics, electrical and electronic engineering, and control and systems engineering.

The scientist's work focuses on various advanced topics, notably metaheuristic optimization algorithms research, evolutionary algorithms and their applications, scheduling and optimization algorithms, vehicle routing optimization methods, advanced multi-objective optimization algorithms, advanced control systems optimization, and robotic path planning algorithms.

Frequent coauthors in their research include Mengjie Zhang, Fangfang Zhang, Su Nguyen, Ya-Hui Jia, and Zhixing Huang.

Yi Mei has contributed extensively to several publication venues, with frequent appearances in:

  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • IEEE Transactions on Cybernetics
  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Selected recent papers authored or coauthored by Yi Mei include:

  • "Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling", 2020, IEEE Transactions on Cybernetics
  • "Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling", 2021, IEEE Transactions on Evolutionary Computation
  • "A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem", 2021, IEEE Transactions on Cybernetics
  • "Explainable Artificial Intelligence by Genetic Programming: A Survey", 2022, IEEE Transactions on Evolutionary Computation
  • "Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling", 2021, IEEE Transactions on Cybernetics

Yi Mei has also authored a book published by Springer Nature titled "Genetic Programming for Production Scheduling," released in 2021.

Best Publications

  • Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization

    Mohammad Nabi Omidvar;Xiaodong Li;Yi Mei;Xin Yao

  • DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization

    Mohammad Nabi Omidvar;Ming Yang;Yi Mei;Xiaodong Li

  • Genetic programming for production scheduling: a survey with a unified framework

    Su Nguyen;Yi Mei;Mengjie Zhang

  • A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization

    Yi Mei;Mohammad Nabi Omidvar;Xiaodong Li;Xin Yao

  • Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

  • Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems

    Ke Tang;Yi Mei;Xin Yao

  • A survey on evolutionary machine learning

    Harith Al-Sahaf;Ying Bi;Qi Chen;Andrew Lensen

  • Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling

    Fangfang Zhang;Yi Mei;Su Nguyen;Mengjie Zhang

  • Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

    Fangfang Zhang;Yi Mei;Su Nguyen;Mengjie Zhang

  • A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem.

    Ya-Hui Jia;Yi Mei;Mengjie Zhang

  • Explainable Artificial Intelligence by Genetic Programming: A Survey

    Unknown

  • Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems

    Yi Mei;Xiaodong Li;Xin Yao

  • An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization

    Jianhua Liu;Yi Mei;Xiaodong Li

  • Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling

    Unknown

  • An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming

    Yi Mei;Su Nguyen;Bing Xue;Mengjie Zhang

  • Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling.

    Fangfang Zhang;Yi Mei;Su Nguyen;Kay Chen Tan

  • Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling

    Unknown

  • An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling

    John Park;Yi Mei;Su Nguyen;Su Nguyen;Gang Chen

  • Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling.

    Fangfang Zhang;Yi Mei;Su Nguyen;Mengjie Zhang

  • A time-varying transfer function for balancing the exploration and exploitation ability of a binary PSO

    Md. Jakirul Islam;Xiaodong Li;Yi Mei

  • A Memetic Algorithm for Periodic Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

  • Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms

    Mohammad Nabi Omidvar;Yi Mei;Xiaodong Li

  • On investigation of interdependence between sub-problems of the Travelling Thief Problem

    Yi Mei;Xiaodong Li;Xin Yao

  • A Global Repair Operator for Capacitated Arc Routing Problem

    Yi Mei;Ke Tang;Xin Yao

Frequent Co-Authors

Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Xin Yao
Xin Yao Lingnan University
Xiaodong Li
Xiaodong Li University of Virginia
Ke Tang
Ke Tang Southern University of Science and Technology
Jinyan Li
Jinyan Li University of Technology Sydney
Bing Xue
Bing Xue Victoria University of Wellington
Andreas T. Ernst
Andreas T. Ernst Monash University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Ana L. C. Bazzan
Ana L. C. Bazzan Federal University of Rio Grande do Sul
Fu-Yun Zhao
Fu-Yun Zhao Wuhan University

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