World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
83
Citations
42972
World Ranking
883
National Ranking
132

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to multi-objective evolutionary computation methodologies

Overview

Qingfu Zhang is a researcher affiliated with the City University of Hong Kong in China whose work spans several interconnected areas within computer science and engineering. Their publication record includes a strong focus on evolutionary computation, optimization algorithms, and artificial intelligence.

Their recent papers include:

  • "A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy" (2020, IEEE Transactions on Evolutionary Computation)
  • "Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions" (2020, IEEE Transactions on Evolutionary Computation)
  • "Band structure engineered tunneling heterostructures for high-performance visible and near-infrared photodetection" (2020, Science China Materials)
  • "Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation" (2021, IEEE Transactions on Circuits and Systems for Video Technology)
  • "Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy" (2021, IEEE Transactions on Geoscience and Remote Sensing)

Qingfu Zhang's frequent co-authors include:

  • Zhenkun Wang
  • Xi Lin
  • Fei Liu
  • Jianyong Sun
  • Hui Liu

They have contributed extensively to several publication venues, predominantly in the fields of evolutionary computation and artificial intelligence:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

In terms of fields of study, their work is mainly situated within:

  • Computer Science
  • Engineering

Within these broader fields, their subfields of study cover:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering
  • Computational Mechanics

The main research topics associated with their work include:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Vehicle Routing Optimization Methods
  • Sparse and Compressive Sensing Techniques
  • Advanced Manufacturing and Logistics Optimization
  • Complex Network Analysis Techniques

Qingfu Zhang has also authored a book published by Springer Science+Business Media titled Evolutionary Multi-Criterion Optimization (2021).

They have been recognized by the IEEE as a Fellow since 2017 for their contributions to multi-objective evolutionary computation methodologies.

Best Publications

  • MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

    Qingfu Zhang;Hui Li

  • Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II

    Hui Li;Qingfu Zhang

  • Multiobjective evolutionary algorithms: A survey of the state of the art

    Aimin Zhou;Bo-Yang Qu;Hui Li;Shi-Zheng Zhao

  • Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters

    Yong Wang;Zixing Cai;Qingfu Zhang

  • An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition

    Ke Li;Kalyanmoy Deb;Qingfu Zhang;Sam Kwong

  • Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition

    Qingfu Zhang;Aimin Zhou;Shizheng Zhao;Ponnuthurai Nagaratnam Suganthan

  • RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm

    Qingfu Zhang;Aimin Zhou;Yaochu Jin

  • Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems

    Hai-Lin Liu;Fangqing Gu;Qingfu Zhang

  • Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model

    Qingfu Zhang;Wudong Liu;Edward Tsang;Botond Virginas

  • The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances

    Qingfu Zhang;Wudong Liu;Hui Li

  • A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems

    Bo Liu;Qingfu Zhang;Georges G. E. Gielen

  • A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization

    Aimin Zhou;Yaochu Jin;Qingfu Zhang

  • Push and pull search for solving constrained multi-objective optimization problems

    Zhun Fan;Wenji Li;Xinye Cai;Hui Li

  • Distributed evolutionary algorithms and their models

    Yue-Jiao Gong;Wei-Neng Chen;Zhi-Hui Zhan;Jun Zhang

  • Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition

    Ke Li;Alvaro Fialho;Sam Kwong;Qingfu Zhang

  • DE/EDA: a new evolutionary algorithm for global optimization

    Jianyong Sun;Qingfu Zhang;Edward P. K. Tsang

  • Stable Matching-Based Selection in Evolutionary Multiobjective Optimization

    Ke Li;Qingfu Zhang;Sam Kwong;Miqing Li

  • An orthogonal genetic algorithm for multimedia multicast routing

    Qingfu Zhang;Yiu-Wing Leung

  • Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm

    Aimin Zhou;Qingfu Zhang;Yaochu Jin

  • Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion

    Aimin Zhou;Yaochu Jin;Qingfu Zhang;B. Sendhoff

  • Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms

    D. K. Saxena;J. A. Duro;A. Tiwari;K. Deb

Frequent Co-Authors

Edward Tsang
Edward Tsang University of Essex
Sam Kwong
Sam Kwong Lingnan University
Yaochu Jin
Yaochu Jin Westlake University
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Licheng Jiao
Licheng Jiao Xidian University
Kun Yang
Kun Yang University of Essex
Bernhard Sendhoff
Bernhard Sendhoff Honda (Germany)
Xin Yao
Xin Yao Lingnan University
Pei-Chann Chang
Pei-Chann Chang Yuan Ze University

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