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An evolutionary cellular program on the solution of the travelling salesman problem

An evolutionary cellular program on the solution of the travelling salesman problem
An evolutionary cellular program on the solution of the travelling salesman problem
An evolutionary algorithm is described for solving instances of the Travelling Salesman Problem (TSP). The key point of the algorithm is the distribution of the population over a grid, being in that sense a sort of cellular automata, but having the rules of change an iteration of a genetic algorithm each time. This genetic algorithm operating in miniature just takes account of a subset of the whole population, using for that a given neighbourhood relation, among several defined. This work compares the behaviour of the algorithm against a genetic algorithm, for different program's parameters. The set of benchmark instances was taken from the worldwide known collection TSPLIB.
959-02-0241-1
236-241
Moreno, José A.
d098003b-0658-44df-afc8-ed42d75b5f8d
Egea, Adriana G.
4f9174fe-482a-4114-8e81-79b835946224
Mühlenbein, H.
Ochoa, A.
Moreno, José A.
d098003b-0658-44df-afc8-ed42d75b5f8d
Egea, Adriana G.
4f9174fe-482a-4114-8e81-79b835946224
Mühlenbein, H.
Ochoa, A.

Moreno, José A. and Egea, Adriana G. (1999) An evolutionary cellular program on the solution of the travelling salesman problem. Mühlenbein, H. and Ochoa, A. (eds.) In Proceedings of the Second International Symposium on Artificial Intelligence - Adaptive Systems, ISAS’99. pp. 236-241 .

Record type: Conference or Workshop Item (Paper)

Abstract

An evolutionary algorithm is described for solving instances of the Travelling Salesman Problem (TSP). The key point of the algorithm is the distribution of the population over a grid, being in that sense a sort of cellular automata, but having the rules of change an iteration of a genetic algorithm each time. This genetic algorithm operating in miniature just takes account of a subset of the whole population, using for that a given neighbourhood relation, among several defined. This work compares the behaviour of the algorithm against a genetic algorithm, for different program's parameters. The set of benchmark instances was taken from the worldwide known collection TSPLIB.

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ISAS99 Evolutionary Cellular Program - Accepted Manuscript
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Published date: March 1999
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 349759
URI: http://eprints.soton.ac.uk/id/eprint/349759
ISBN: 959-02-0241-1
PURE UUID: f9b1efa1-43b9-46b8-b11a-b7fed03c7cdb
ORCID for Adriana G. Egea: ORCID iD orcid.org/0000-0002-1684-1539

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Date deposited: 12 Mar 2013 15:26
Last modified: 12 Nov 2024 02:46

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Contributors

Author: José A. Moreno
Author: Adriana G. Egea ORCID iD
Editor: H. Mühlenbein
Editor: A. Ochoa

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