World's Best Scientists 2026 revealed!

Overview

Peigen Li is affiliated with Huazhong University of Science and Technology in China and conducts research primarily in Mathematics and Agricultural and Biological Sciences. Their work spans several interdisciplinary topics connecting mathematical theory with practical applications in plant science and engineering.

The scientist's research covers multiple main topics including:

  • Mycorrhizal Fungi and Plant Interactions
  • Algebraic Geometry and Number Theory
  • Advanced Algebra and Geometry
  • Scheduling and Optimization Algorithms
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Aquaculture Nutrition and Growth

The following subfields represent areas where Peigen Li has contributed scholarly publications:

  • Plant Science
  • Industrial and Manufacturing Engineering
  • Materials Chemistry
  • Geometry and Topology
  • Computational Theory and Mathematics

Notable recent publications by Peigen Li include:

  • "Positive Effect of Ge Vacancies on Facilitating Band Convergence and Suppressing Bipolar Transport in GeTe-Based Alloys for High Thermoelectric Performance" (2020), published in Advanced Functional Materials
  • "Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm" (2020), published in Swarm and Evolutionary Computation
  • "An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop" (2021), published in Annals of Operations Research
  • "Sampling-based system reliability-based design optimization using composite active learning Kriging" (2020), published in Computers & Structures
  • "On Hermite-Hadamard type inequalities for n-polynomial convex stochastic processes" (2021), published in AIMS Mathematics

Frequent coauthors collaborating with Peigen Li are:

  • Liang Gao (3 joint publications)
  • Xinyu Li (2 joint publications)
  • Yanlin Guo (2 joint publications)
  • Lei Zhang (2 joint publications)
  • Yi Liang (2 joint publications)

Peigen Li's research has been published in venues that include:

  • Frontiers in Plant Science
  • arXiv (Cornell University)
  • Swarm and Evolutionary Computation
  • Advanced Functional Materials
  • Annals of Operations Research

Best Publications

  • An effective hybrid particle swarm optimization algorithm for multi-objective flexible job-shop scheduling problem

    Guohui Zhang;Xinyu Shao;Peigen Li;Liang Gao

  • A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem

    ChaoYong Zhang;PeiGen Li;ZaiLin Guan;YunQing Rao

  • Disassembly Sequence Planning Considering Fuzzy Component Quality and Varying Operational Cost

    Guangdong Tian;MengChu Zhou;Peigen Li

  • Operation patterns analysis of automotive components remanufacturing industry development in China

    Guangdong Tian;Guangdong Tian;Guangdong Tian;Honghao Zhang;Honghao Zhang;Yixiong Feng;Hongfei Jia

  • A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates

    Li Nie;Liang Gao;Peigen Li;Xinyu Li

  • A general failure-pursuing sampling framework for surrogate-based reliability analysis

    Chen Jiang;Haobo Qiu;Zan Yang;Liming Chen

  • A local adaptive sampling method for reliability-based design optimization using Kriging model

    Zhenzhong Chen;Haobo Qiu;Liang Gao;Xiaoke Li

  • An adaptive decoupling approach for reliability-based design optimization

    Zhenzhong Chen;Haobo Qiu;Liang Gao;Liu Su

  • Integrating data mining and rough set for customer group-based discovery of product configuration rules

    X.-Y Shao;Z.-H Wang;P.-G Li;C.-X. J Feng

  • A new subset based deep feature learning method for intelligent fault diagnosis of bearing

    Yuyan Zhang;Xinyu Li;Liang Gao;Peigen Li

  • An important boundary sampling method for reliability-based design optimization using kriging model

    Zhenzhong Chen;Siping Peng;Xiaoke Li;Haobo Qiu

  • A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem

    Kaipu Wang;Xinyu Li;Liang Gao;Peigen Li

  • Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm

    Guangchen Wang;Liang Gao;Xinyu Li;Peigen Li

  • An optimal shifting vector approach for efficient probabilistic design

    Zhenzhong Chen;Haobo Qiu;Liang Gao;Peigen Li

  • Isogeometric topology optimization for continuum structures using density distribution function

    Jie Gao;Jie Gao;Liang Gao;Zhen Luo;Peigen Li

  • An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy

    Chen Jiang;Haobo Qiu;Liang Gao;Xiwen Cai

  • Energy-efficient distributed heterogeneous welding flow shop scheduling problem using a modified MOEA/D

    Guangchen Wang;Xinyu Li;Liang Gao;Peigen Li

  • Design and implementation of a process-oriented intelligent collaborative product design system

    Yuliang Li;Xinyu Shao;Peigen Li;Qiong Liu

  • A new hybrid GA/SA algorithm for the job shop scheduling problem

    Chaoyong Zhang;Peigen Li;Yunqing Rao;Shuxia Li

  • A level set method for topological shape optimization of 3D structures with extrusion constraints

    Hao Li;Peigen Li;Liang Gao;Li Zhang

Frequent Co-Authors

Liang Gao
Liang Gao Huazhong University of Science and Technology
Xinyu Shao
Xinyu Shao Huazhong University of Science and Technology
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Chunming Wang
Chunming Wang Huazhong University of Science and Technology
Zhen Luo
Zhen Luo University of Technology Sydney
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Weiming Shen
Weiming Shen Huazhong University of Science and Technology
Surendra M. Gupta
Surendra M. Gupta Northeastern University
John W. Sutherland
John W. Sutherland Purdue University West Lafayette
Handong Sun
Handong Sun Nanyang Technological University

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