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An effective method for solving multiple travelling salesman problem based on NSGA-II

  • Published:2019-10-11 Issue:2 Volume:7 Page:108-116
  • ISSN:2164-2583
  • Container-title:Systems Science & Control Engineering
  • language:en
  • Short-container-title:Systems Science & Control Engineering

Author:

Shuai Yang1,Yunfeng Shao1,Kai Zhang12

Affiliation:

1. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, People's Republic of China

2. Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, People's Republic of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cost and Performance Comparison of Holistic Solution Approaches for Complex Supply Chains on a Novel Linked Problem Benchmark;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. NSGA-II Algorithm in Path Planning of Multiple Unmanned Aerial Vehicle Collaborative Search Tasks;2024 International Conference on Machine Intelligence and Digital Applications;2024-05-30

3. Scalable Multi-Robot Task Allocation Using Graph Deep Reinforcement Learning with Graph Normalization;Electronics;2024-04-19

4. Task allocation for inspection drone of power transmission lines based on improved NSGA-II;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

5. Genetic algorithm to the bi-objective multiple travelling salesman problem;Alexandria Engineering Journal;2024-03
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