JOURNAL ARTICLE

A Memetic Algorithm for the Traveling Salesman Problem

Martín Darío Arango SernaConrado Augusto Serna-Urán

Year: 2015 Journal:   IEEE Latin America Transactions Vol: 13 (8)Pages: 2674-2679   Publisher: Institute of Electrical and Electronics Engineers

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:
Memetic algorithm Travelling salesman problem 2-opt Heuristics Mathematical optimization Memetics Local search (optimization) Evolutionary algorithm Bottleneck traveling salesman problem Lin–Kernighan heuristic Christofides algorithm Computer science Traveling purchaser problem Evolutionary computation Algorithm Mathematics Artificial intelligence

Metrics

19
Cited By
3.14
FWCI (Field Weighted Citation Impact)
36
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Evolutionary Algorithms and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering

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