World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
23646
World Ranking
2690
National Ranking
368

Research.com Recognitions

  • 2007 - IEEE Fellow For contributions to medical image reconstruction and virtual colonoscopy

Overview

Jing Liang is affiliated with Zhengzhou University in China and has contributed extensively to the fields of Computer Science and Engineering. Their research primarily focuses on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Mechanical Engineering.

The scientist's scholarly output includes a significant number of publications in key research domains, emphasizing topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, Machine Learning and Extreme Learning Machines (ELM), Face and Expression Recognition, High Entropy Alloys Studies, and Additive Manufacturing Materials and Processes.

Frequent publication venues for Jing Liang include:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • SSRN Electronic Journal
  • Swarm and Evolutionary Computation
  • Applied Soft Computing

Jing Liang has collaborated with several co-authors regularly, reflecting ongoing research partnerships. The frequent co-authors are:

  • Kunjie Yu
  • Caitong Yue
  • Boyang Qu
  • Kangjia Qiao
  • Ke Chen

Notable recent papers include:

  • A Survey on Evolutionary Constrained Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation
  • An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems, 2022, IEEE Transactions on Evolutionary Computation
  • Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution, 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • Differential evolution using improved crowding distance for multimodal multiobjective optimization, 2021, Swarm and Evolutionary Computation
  • Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation

In addition to journal articles and conference papers, Jing Liang has authored book publications. One such work is "Bio-inspired Computing: Theories and Applications," published by Springer Science+Business Media in 2020.

Jing Liang's contributions to science have been recognized with the IEEE Fellow award in 2007, granted for work in medical image reconstruction and virtual colonoscopy.

Best Publications

  • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

    J.J. Liang;A.K. Qin;P.N. Suganthan;S. Baskar

  • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

    P. N. Suganthan;N. Hansen;J. J. Liang;K. Deb

  • Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

    J. J. Liang;B. Y. Qu;P. N. Suganthan

  • Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization

    J. J. Liang;B. Y. Qu;P. N. Suganthan;Alfredo G. Hernández-Díaz

  • Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

    J. J. Liang;Thomas Philip Runarsson;Efren Mezura-Montes;Maurice Clerc

  • Dynamic multi-swarm particle swarm optimizer

    J.J. Liang;P.N. Suganthan

  • Dynamic multi-swarm particle swarm optimizer with local search

    J.J. Liang;P.N. Suganthan

  • Novel composition test functions for numerical global optimization

    J.J. Liang;P.N. Suganthan;K. Deb

  • A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems

    Caitong Yue;Boyang Qu;Jing Liang

  • Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

    Kunjie Yu;J.J. Liang;B.Y. Qu;Xu Chen

  • A self-adaptive global best harmony search algorithm for continuous optimization problems

    Quan-Ke Pan;P. N. Suganthan;M. Fatih Tasgetiren;J. J. Liang

  • Differential Evolution With Neighborhood Mutation for Multimodal Optimization

    B. Y. Qu;P. N. Suganthan;J. J. Liang

  • A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

    Kunjie Yu;Boyang Qu;Caitong Yue;Shilei Ge

  • A Survey on Evolutionary Constrained Multiobjective Optimization

    Unknown

  • Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models

    Kunjie Yu;Kunjie Yu;J.J. Liang;B.Y. Qu;Zhiping Cheng

  • Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization

    S.Z. Zhao;J.J. Liang;P.N. Suganthan;M.F. Tasgetiren

  • An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems

    Unknown

  • Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

    Quan-Ke Pan;Quan-Ke Pan;Liang Gao;Ling Wang;Jing Liang

  • A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems

    Bo-Yang Qu;Bo-Yang Qu;Yongsheng Zhu;Yongsheng Zhu;Y. C. Jiao;M. Y. Wu

  • Multimodal multi-objective optimization: A preliminary study

    J. J. Liang;C. T. Yue;B. Y. Qu

  • Niching particle swarm optimization with local search for multi-modal optimization

    B. Y. Qu;J. J. Liang;P. N. Suganthan

  • Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems

    Vicky Ling Huang;Ponnuthurai N. Suganthan;Jing J. Liang

  • Multimodal multiobjective optimization with differential evolution

    Jing J. Liang;Weiwei Xu;Caitong Yue;Kunjie Yu

Frequent Co-Authors

Boyang Qu
Boyang Qu Zhongyuan University of Technology
Junqing Li
Junqing Li Liaocheng University
A. K. Qin
A. K. Qin Swinburne University of Technology
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Kaizhou Gao
Kaizhou Gao Macau University of Science and Technology
Ling Wang
Ling Wang Tsinghua University
Qihou Zhou
Qihou Zhou Miami University
Shuhui Li
Shuhui Li University of Alabama
Xiaodong Li
Xiaodong Li University of Virginia

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