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D-Index & Metrics

Computer Science

D-Index
44
Citations
5933
World Ranking
7707
National Ranking
1019

Overview

Chaoyong Zhang is affiliated with Huazhong University of Science and Technology in China and has contributed extensively to the field of engineering, with a focus on industrial and manufacturing engineering. Their research spans multiple subfields including mechanical engineering, control and systems engineering, electrical and electronic engineering, and strategy and management.

Their work primarily addresses topics such as advanced manufacturing and logistics optimization, scheduling and optimization algorithms, manufacturing process and optimization, assembly line balancing optimization, welding techniques and residual stresses, additive manufacturing materials and processes, and industrial vision systems and defect detection.

Frequent collaborators in their research include Leilei Meng, Yaping Ren, Biao Zhang, Jianzhao Wu, and Kaizhou Gao.

Chaoyong Zhang has published in a variety of academic journals, with multiple works appearing in venues such as:

  • Swarm and Evolutionary Computation
  • SSRN Electronic Journal
  • IEEE Access
  • Journal of Manufacturing Systems
  • Mathematics

Notable recent papers include:

  • "Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem" (2020), published in Computers & Industrial Engineering
  • "An Enhanced Social Engineering Optimizer for Solving an Energy-Efficient Disassembly Line Balancing Problem Based on Bucket Brigades and Cloud Theory" (2022), published in IEEE Transactions on Industrial Informatics
  • "Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times" (2022), published in Swarm and Evolutionary Computation
  • "A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV" (2024), published in Swarm and Evolutionary Computation
  • "MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times" (2023), published in Swarm and Evolutionary Computation

The research output of Chaoyong Zhang is predominately situated in engineering disciplines, emphasizing manufacturing systems and optimization techniques. Their publication history reflects ongoing contributions to scheduling problems, hybrid flowshop modeling, energy-efficient production processes, and algorithm development for complex industrial challenges.

Best Publications

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

    ChaoYong Zhang;PeiGen Li;ZaiLin Guan;YunQing Rao

  • Integration of process planning and scheduling-A modified genetic algorithm-based approach

    Xinyu Shao;Xinyu Li;Liang Gao;Chaoyong Zhang

  • Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem

    Leilei Meng;Leilei Meng;Chaoyong Zhang;Yaping Ren;Biao Zhang

  • A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem

    Xiaojuan Wang;Liang Gao;Chaoyong Zhang;Xinyu Shao

  • MILP models for energy-aware flexible job shop scheduling problem

    Leilei Meng;Chaoyong Zhang;Xinyu Shao;Yaping Ren

  • 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

  • Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling

    Xinyu Li;Liang Gao;Xinyu Shao;Chaoyong Zhang

  • Stochastic multi-objective modelling and optimization of an energy-conscious distributed permutation flow shop scheduling problem with the total tardiness constraint

    Yaping Fu;Guangdong Tian;Amir Mohammad Fathollahi-Fard;Abbas Ahmadi

  • Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

    Unknown

  • Hybrid discrete particle swarm optimization for multi-objective flexible job-shop scheduling problem

    Xinyu Shao;Weiqi Liu;Weiqi Liu;Qiong Liu;Chaoyong Zhang

  • Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines

    Leilei Meng;Chaoyong Zhang;Xinyu Shao;Yaping Ren

  • An agent-based approach for integrated process planning and scheduling

    Xinyu Li;Chaoyong Zhang;Liang Gao;Weidong Li

  • An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem

    Yaping Ren;Daoyuan Yu;Chaoyong Zhang;Guangdong Tian

  • A review on Integrated Process Planning and Scheduling

    Xinyu Li;Liang Gao;Chaoyong Zhang;Xinyu Shao

  • An asynchronous parallel disassembly planning based on genetic algorithm

    Yaping Ren;Chaoyong Zhang;Fu Zhao;Huajun Xiao

  • A multi-objective teaching−learning-based optimization algorithm to scheduling in turning processes for minimizing makespan and carbon footprint

    Wenwen Lin;D.Y. Yu;Chaoyong Zhang;Xun Liu

  • Multi-objective optimization algorithms for flow shop scheduling problem: a review and prospects

    Yi Sun;Chaoyong Zhang;Liang Gao;Xiaojuan Wang

  • Integrated process planning and scheduling using an imperialist competitive algorithm

    Kunlei Lian;Chaoyong Zhang;Liang Gao;Xinyu Li

  • Fuzzy Grey Choquet Integral for Evaluation of Multicriteria Decision Making Problems With Interactive and Qualitative Indices

    Guangdong Tian;Nannan Hao;MengChu Zhou;Witold Pedrycz

  • An effective hybrid teaching–learning-based optimization algorithm for permutation flow shop scheduling problem

    Zhanpeng Xie;Chaoyong Zhang;Xinyu Shao;Wenwen Lin

  • Disassembly line balancing problem using interdependent weights-based multi-criteria decision making and 2-Optimal algorithm

    Yaping Ren;Chaoyong Zhang;Fu Zhao;Guangdong Tian;Guangdong Tian

  • Dual-objective program and improved artificial bee colony for the optimization of energy-conscious milling parameters subject to multiple constraints

    Wenjie Wang;Guangdong Tian;Maoning Chen;Fei Tao

  • An effective hybrid genetic algorithm for the job shop scheduling problem

    Unknown

  • More MILP models for hybrid flow shop scheduling problem and its extended problems

    Leilei Meng;Chaoyong Zhang;Xinyu Shao;Biao Zhang

Frequent Co-Authors

Xinyu Shao
Xinyu Shao Huazhong University of Science and Technology
Guangdong Tian
Guangdong Tian Shandong University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Fu Zhao
Fu Zhao Purdue University West Lafayette
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
John W. Sutherland
John W. Sutherland Purdue University West Lafayette
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Junqing Li
Junqing Li Liaocheng University
Weidong Li
Weidong Li Wuhan University of Technology

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