A memetic algorithm for multiobjective problems

Authors:
Laurent Moalic;Sid Lamrous;Alexandre Caminada
Affiliations:
UTBM, Belfort, 90010, France;UTBM, Belfort, 90010, France;UTBM, Belfort, 90010, France
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

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Abstract

In this article, we present a method combining a genetic approach with a local search for multiobjective problems. The performance of the proposed algorithm is illustrated by experimental results based on a real problem with three objectives. The problem is issued from electric car-sharing service with a car manufacturer partner. Compared to the Multiobjective Pareto Local Search (PLS) well known in the scientific literature, the proposed model aims to improve: the solutions quality and the set diversity.