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Design of Ant Colony Optimization Simulation Platform Based On MATLAB GUI
Li MX(李孟歆); Hu, Hongshuang; Jiang Y(姜勇); Feng, Guanhua
Department空间自动化技术研究室
Conference Name2017 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, MACHINERY AND ENERGY ENGINEERING (MSMEE 2017)
Conference DateMay 13-14, 2017
Conference PlaceDalian, China
Source PublicationPROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, MACHINERY AND ENERGY ENGINEERING (MSMEE 2017)
PublisherATLANTIS PRESS
Publication PlacePARIS
2017
Pages375-379
Indexed ByCPCI(ISTP)
WOS IDWOS:000417218300076
Contribution Rank2
ISSN2352-5401
ISBN978-94-6252-346-3
KeywordDesign Ant Colony Optimization Matlab/gui
AbstractIn this paper, a novel ant colony optimization (ACO) simulation platform is developed by MATLAB/GUI toolbox to solve traveling salesman problem (TSP). The modular design concept is applied to divide platform into four main modules. The function modules are designed by using MATLAB/GUI toolbox. The development, implementation and test of the designed ACO simulation platform are particularly introduced. The test process and results show that the function of the designed ACO simulation platform can be implemented by importing exiting map and its coordinates or setting coordinates manually; besides, when setting parameters, they can be changed arbitrarily in the range of prompt message. The proposed platform can effectively solve the TSP and find the optimal path.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21312
Collection空间自动化技术研究室
Corresponding AuthorLi MX(李孟歆)
Affiliation1.School of Information & Control Engineering, Shenyang Jianzu University, Shenyang 110168, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, China
Recommended Citation
GB/T 7714
Li MX,Hu, Hongshuang,Jiang Y,et al. Design of Ant Colony Optimization Simulation Platform Based On MATLAB GUI[C]. PARIS:ATLANTIS PRESS,2017:375-379.
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