An elitist genetic algorithm for multiobjective optimization

Authors:
Lino Costa;Pedro Oliveira
Affiliations:
Departamento de Producção e Sistemas, Universidade do Minho, Campus de Gualtar, 4710 Braga, Portugal;Departamento de Producção e Sistemas, Universidade do Minho, Campus de Gualtar, 4710 Braga, Portugal
Venue:
Metaheuristics
Year:
2004

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Abstract

Solving multiobjective engineering problems is, in general, a difficult task. In spite of the success of many approaches, elitism has emerged has an effective way of improving the performance of algorithms. In this paper, a new elitist scheme, by which it is possible to control the size of the elite population, as well as the concentration of points in the approximation to the Pareto-optimal set, is introduced. This new scheme is tested on several multiobjective problems and, it proves to lead to a good compromise between computational time and size of the elite population.