Improved ant colony algorithm based on natural selection strategy for solving TSP problem
Academic communication|更新时间:2024-06-05
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Improved ant colony algorithm based on natural selection strategy for solving TSP problem
Journal on CommunicationsVol. 34, Issue 4, Pages: 165-170(2013)
作者机构:
1. 上海海事大学 商船学院,上海201306
2. 上海海事大学 信息工程学院,上海201306
作者简介:
基金信息:
The National Natural Science Foundation of China(51279099);The Science and Technology Comm ee Foundation of Shanghai Municipality(12ZR1412500);The Innovation Program of Shanghai Municipality Education Commission(13ZZ124);“Shu Guang”Project of Shanghai Municipal Education Commission and Shanghai Education Development Foundation(12SG40)
Hua-feng WU, Xin-qiang CHEN, Qi-huang MAO, et al. Improved ant colony algorithm based on natural selection strategy for solving TSP problem[J]. Journal on Communications, 2013, 34(4): 165-170.
DOI:
Hua-feng WU, Xin-qiang CHEN, Qi-huang MAO, et al. Improved ant colony algorithm based on natural selection strategy for solving TSP problem[J]. Journal on Communications, 2013, 34(4): 165-170. DOI: 10.3969/j.issn.1000-436x.2013.04.020.
Improved ant colony algorithm based on natural selection strategy for solving TSP problem