Details

Autor(en) / Beteiligte

• Guevara-Souza, Mauricio
• Vallejo, Edgar E.

Titel

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

Ist Teil von

• Natural computing, 2015-03, Vol.14 (1), p.157-167

Ort / Verlag

Dordrecht: Springer Netherlands

Erscheinungsjahr

2015

Quelle

SpringerLink

Beschreibungen/Notizen

• 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.