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Natural Computing

Erschienen in:

01.03.2015

Using a simulated Wolbachia infection mechanism to improve multi-objective evolutionary algorithms

verfasst von: Mauricio Guevara-Souza, Edgar E. Vallejo

Erschienen in: Natural Computing | Ausgabe 1/2015

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Abstract

This paper presents a new evolutionary algorithm for solving multi-objective optimization problems. The proposed algorithm simulates the infection of the endosymbiotic bacteria Wolbachia to improve the evolutionary search. We conducted a series of computational experiments to contrast the results of the proposed algorithm to those obtained by state of the art multi-objective evolutionary algorithms (MOEAs). We employed two widely used test problem benchmarks. Our experimental results show that the proposed model outperforms established MOEAs at solving most of the test problems.

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Titel: Using a simulated Wolbachia infection mechanism to improve multi-objective evolutionary algorithms
verfasst von: Mauricio Guevara-Souza
Edgar E. Vallejo
Publikationsdatum: 01.03.2015
Verlag: Springer Netherlands
Erschienen in: Natural Computing / Ausgabe 1/2015
Print ISSN: 1567-7818
Elektronische ISSN: 1572-9796
DOI: https://doi.org/10.1007/s11047-013-9404-7

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