Transgenetic algorithm for the Traveling Purchaser Problem

被引:28
作者
Goldbarg, M. C. [1 ]
Bagi, L. B. [1 ]
Goldbarg, E. F. G. [1 ]
机构
[1] Univ Fed Rio Grande do Norte, Dept Informat & Appl Math, BR-59082430 Natal, RN, Brazil
关键词
Combinatorial optimization; Traveling Purchaser Problem; Evolutionary algorithm; Transgenetic algorithm; SALESMAN PROBLEM; GENE-TRANSFER; HEURISTICS; OPTIMIZATION;
D O I
10.1016/j.ejor.2008.10.027
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper an evolutionary algorithm is presented for the Traveling Purchaser Problem, an important variation of the Traveling Salesman Problem. The evolutionary approach proposed in this paper is called transgenetic algorithm. It is inspired on two significant evolutionary driving forces: horizontal gene transfer and endosymbiosis. The performance of the algorithm proposed for the investigated problem is compared with other recent works presented in the literature. Computational experiments show that the proposed approach is very effective for the investigated problem with 17 and 9 new best solutions reported for capacitated and uncapacitated instances, respectively. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:36 / 45
页数:10
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