收稿日期: 2014-03-24
修回日期: 2014-07-14
网络出版日期: 2014-12-01
基金资助
国家自然科学基金资助项目( 61273155 );辽宁省教育厅一般项目( L2014530 )
Discrete Artificial Firefly Algorithm for Solving Traveling Salesman Problems
Received date: 2014-03-24
Revised date: 2014-07-14
Online published: 2014-12-01
Supported by
Supported by the National Natural Science Foundation of China ( 61273155 )
于宏涛 高立群 韩希昌 . 求解旅行商问题的离散人工萤火虫算法[J]. 华南理工大学学报(自然科学版), 2015 , 43(1) : 126 -131,139 . DOI: 10.3969/j.issn.1000-565X.2015.01.020
Proposed in this paper is a discrete artificial firefly algorithm combined with variable neighborhood search algorithm, which is used to solve traveling salesman problems.First, the distance of artificial firefly algorithm is redefined by introducing the concepts of swap operator and swap sequence.Secondly, in order to increase the diversity of firefly swarms and to avoid quick convergence to local optimal solution, a perturbation mechanism is designed on the basis of variable neighborhood search algorithm.Then, several different traveling salesman problems are solved by using the proposed algorithm, and the results finally show that the proposed algorithm is superior to the typical ones in literatures because it helps obtain good solving results.
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