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D-Index & Metrics

Computer Science

D-Index
43
Citations
8733
World Ranking
7923
National Ranking
1039

Overview

Liang Feng is affiliated with Chongqing University in China and specializes in research primarily within the fields of Computer Science and Engineering. Their work encompasses a broad range of subfields including Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist has contributed extensively to topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, Vehicle Routing Optimization Methods, Reinforcement Learning in Robotics, 3D Surveying and Cultural Heritage, and Infrastructure Maintenance and Monitoring.

Liang Feng's frequent coauthors include Kay Chen Tan, Yew-Soon Ong, Yuxiao Huang, Abhishek Gupta, and Yaqing Hou, indicating collaboration with experts who have made multiple contributions in their shared fields of study.

Their recent published papers include:

  • "Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research" (2021, IEEE Computational Intelligence Magazine)
  • "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation" (2020, IEEE Transactions on Cybernetics)
  • "Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems" (2020, IEEE Transactions on Cybernetics)
  • "Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem" (2020, IEEE Transactions on Cybernetics)
  • "Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search" (2020, IEEE Transactions on Cybernetics)

The venues where Liang Feng frequently publishes include IEEE Transactions on Evolutionary Computation, IEEE Computational Intelligence Magazine, arXiv (Cornell University), IEEE Transactions on Cybernetics, and Automation in Construction. These venues reflect a strong focus on evolutionary computation and intelligent systems within engineering and computer science domains.

Best Publications

  • Multifactorial Evolution: Toward Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Multiobjective Multifactorial Optimization in Evolutionary Multitasking

    Abhishek Gupta;Yew-Soon Ong;Liang Feng;Kay Chen Tan

  • Evolutionary Multitasking via Explicit Autoencoding

    Liang Feng;Lei Zhou;Jinghui Zhong;Abhishek Gupta

  • Consistencies and contradictions of performance metrics in multiobjective optimization.

    Siwei Jiang;Yew-Soon Ong;Jie Zhang;Liang Feng

  • Insights on Transfer Optimization: Because Experience is the Best Teacher

    Abhishek Gupta;Yew-Soon Ong;Liang Feng

  • Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research

    Kay Chen Tan;Liang Feng;Min Jiang

  • Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

    Xiaoming Xue;Kai Zhang;Kay Chen Tan;Liang Feng

  • Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation

    Lei Zhou;Liang Feng;Kay Chen Tan;Jinghui Zhong

  • Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP

    Liang Feng;Yew-Soon Ong;Meng-Hiot Lim;Ivor W. Tsang

  • Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem

    Liang Feng;Yuxiao Huang;Lei Zhou;Jinghui Zhong

  • TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data

    Chao Chen;Shuhai Jiao;Shu Zhang;Weichen Liu

  • Gene Expression Programming: A Survey [Review Article]

    Jinghui Zhong;Liang Feng;Yew-Soon Ong

  • An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization

    Yongliang Chen;Jinghui Zhong;Liang Feng;Jun Zhang

  • An empirical study of multifactorial PSO and multifactorial DE

    L. Feng;W. Zhou;L. Zhou;S. W. Jiang

  • Linearized domain adaptation in evolutionary multitasking

    Kavitesh Kumar Bali;Abhishek Gupta;Liang Feng;Yew Soon Ong

  • Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results

    Yuan Yuan;Yew-Soon Ong;Liang Feng;A. K. Qin

  • Multifactorial Genetic Programming for Symbolic Regression Problems

    Jinghui Zhong;Liang Feng;Wentong Cai;Yew-Soon Ong

  • Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems

    Liang Feng;Yew-Soon Ong;Siwei Jiang;Abhishek Gupta

  • Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking

    Liang Feng;Lei Zhou;Abhishek Gupta;Jinghui Zhong

  • TrajCompressor : An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

    Chao Chen;Yan Ding;Xuefeng Xie;Shu Zhang

Frequent Co-Authors

Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Zexuan Zhu
Zexuan Zhu Shenzhen University
Jiepeng Liu
Jiepeng Liu Chongqing University
Victor C. S. Lee
Victor C. S. Lee University of Hong Kong
Sang H. Son
Sang H. Son University of Virginia
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
Songtao Guo
Songtao Guo Chongqing University
Ivor W. Tsang
Ivor W. Tsang Agency for Science, Technology and Research
Edwin H.-M. Sha
Edwin H.-M. Sha East China Normal University

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