New robust and efficient ant colony algorithms: Using new interpretation of local updating process

被引:20
作者
Naimi, Hossein Miar [1 ]
Taherinejad, Nima [1 ]
机构
[1] Univ Mazandaran, Fac Elect Engn, Babol Sar, Iran
关键词
Ant colony algorithm; Local updating; Optimizing; Heuristic algorithms;
D O I
10.1016/j.eswa.2007.09.048
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Two new efficient and robust ant colony algorithms are proposed. These algorithms contain two new and reasonable local updating rules that make them more efficient and robust. While going forward from start point to end point of a tour, the ants' freedom to make local changes on links is gradually restricted. This idea is implemented in two different forms, leaving two new algorithms, KCC-Ants and ELU-Ants. To evaluate the new algorithms, we run them along with the old one on the standard TSP library, where in almost all of the cases the proposed algorithms had better solutions and even for some problem samples found the optimal solution. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:481 / 488
页数:8
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