World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
14271
World Ranking
2487
National Ranking
32

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Jin-Kao Hao is affiliated with the University of Angers in France and has a significant publication record primarily in computer science and engineering. Their research spans major fields such as Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, and Computational Theory and Mathematics.

Their main research topics cover:

  • Vehicle Routing Optimization Methods
  • Metaheuristic Optimization Algorithms Research
  • Optimization and Packing Problems
  • Scheduling and Timetabling Solutions
  • Optimization and Search Problems
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Graph Theory Research

Jin-Kao Hao has contributed to research published in frequent venues such as:

  • Computers & Operations Research
  • arXiv (Cornell University)
  • European Journal of Operational Research
  • Expert Systems with Applications
  • INFORMS Journal on Computing

Some notable recent papers include:

  • The Time-dependent Electric Vehicle Routing Problem: Model and solution, 2020, Expert Systems with Applications
  • Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem, 2020, Expert Systems with Applications
  • Variable Population Memetic Search: A Case Study on the Critical Node Problem, 2020, IEEE Transactions on Evolutionary Computation
  • Memetic search for the minmax multiple traveling salesman problem with single and multiple depots, 2022, European Journal of Operational Research
  • Solving the Single-Row Facility Layout Problem by K-Medoids Memetic Permutation Group, 2022, IEEE Transactions on Evolutionary Computation

Their collaborations include frequent co-authors such as Qinghua Wu, Xiangjing Lai, Zhang-Hua Fu, Olivier Goudet, and Zequn Wei.

Jin-Kao Hao has also contributed to book literature, with a publication titled Evolutionary Multi-Criterion Optimization released by Springer Science+Business Media in 2023.

Best Publications

  • Transit network design and scheduling: A global review

    Valérie Guihaire;Jin-Kao Hao

  • Hybrid Evolutionary Algorithms for Graph Coloring

    Philippe Galinier;Jin-Kao Hao

  • The unconstrained binary quadratic programming problem: a survey

    Gary Kochenberger;Jin-Kao Hao;Fred Glover;Mark Lewis

  • Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

    Xiujun Zhang;Xing-Ming Zhao;Kun He;Le Lu

  • A review on algorithms for maximum clique problems

    Qinghua Wu;Jin-Kao Hao

  • A “Logic-Constrained” Knapsack Formulation and a Tabu Algorithm for the Daily Photograph Scheduling of an Earth Observation Satellite

    Michel Vasquez;Jin-Kao Hao

  • Adaptive Tabu Search for course timetabling

    Zhipeng Lü;Zhipeng Lü;Jin-Kao Hao

  • A Memetic Algorithm for Graph Coloring

    Zhipeng Lü;Jin-Kao Hao

  • A hybrid GA/SVM approach for gene selection and classification of microarray data

    Edmundo Bonilla Huerta;Béatrice Duval;Jin-Kao Hao

  • A hybrid approach for the 0-1 multidimensional knapsack problem

    Michel Vasquez;Jin-Kao Hao

  • Métaheuristiques pour l'optimisation combinatoire et l'affectation sous contraintes

    Jin-Kao Hao;Philippe Galinier;Michel Habib

  • A New Genetic Local Search Algorithm for Graph Coloring

    Raphaël Dorne;Jin-Kao Hao

  • Tabu Search for Frequency Assignment in Mobile Radio Networks

    Jin-Kao Hao;Raphaël Dorne;Philippe Galinier

  • NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference

    Xiujun Zhang;Keqin Liu;Zhi-Ping Liu;Béatrice Duval

  • Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks

    Xiujun Zhang;Juan Zhao;Jin-Kao Hao;Xing-Ming Zhao

  • Tabu Search for Graph Coloring, T-Colorings and Set T-Colorings

    Raphaël Dorne;Jin-Kao Hao

  • Scatter search for Graph Coloring

    Jean-Philippe Hamiez;Jin-Kao Hao

  • A genetic embedded approach for gene selection and classification of microarray data

    Jose Crispin Hernandez Hernandez;Béatrice Duval;Jin-Kao Hao

  • Breakout Local Search for the Max-Cutproblem

    Una Benlic;Jin-Kao Hao

  • Identifying dysregulated pathways in cancers from pathway interaction networks

    Ke-Qin Liu;Ke-Qin Liu;Zhi-Ping Liu;Jin-Kao Hao;Luonan Chen;Luonan Chen;Luonan Chen

  • Breakout local search for the quadratic assignment problem

    Una Benlic;Jin-Kao Hao

  • Evolutionary Multi-Criterion Optimization

    Matthias Ehrgott;Carlos M. Fonseca;Xavier Gandibleux;Jin-Kao Hao

Frequent Co-Authors

Fred Glover
Fred Glover University of Colorado Boulder
Luonan Chen
Luonan Chen Chinese Academy of Sciences
Qinghua Wu
Qinghua Wu South China University of Technology
Xing-Ming Zhao
Xing-Ming Zhao Fudan University
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Matthias Ehrgott
Matthias Ehrgott Lancaster University
Carlos M. Fonseca
Carlos M. Fonseca University of Coimbra
Michel Habib
Michel Habib Université Paris Cité

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