DocumentCode :
3610940
Title :
A Memetic Algorithm for the Traveling Salesman Problem
Author :
Arango, M.D. ; Serna, C.A.
Author_Institution :
Univ. Nac. de Colombia, Sede Medellin, Colombia
Volume :
13
Issue :
8
fYear :
2015
Firstpage :
2674
Lastpage :
2679
Abstract :
This paper is designed a hybrid algorithm for solving the traveling salesman problem, which is listed among the NP-complete and which has received much attention in recent decades. As a solution strategy, we propose a memetic algorithm; which is based on the combination of an evolutionary algorithm and local search (2-opt), while the first analyzes several search spaces, the second explodes (improvement) each of the solutions found by the evolutionary algorithm. An individual analysis of the main heuristics used is made in the article.
Keywords :
genetic algorithms; search problems; travelling salesman problems; NP-complete problem; evolutionary algorithm; local search algorithm; memetic algorithm; search spaces; traveling salesman problem; Algorithm design and analysis; Evolutionary computation; Integrated circuits; Memetics; Silicon; Silicon compounds; Traveling salesman problems; evolutionary algorithm; memetic algorithm; traveling salesman problem;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2015.7332148
Filename :
7332148
Link To Document :
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