An elitist genetic algorithm for multiobjective optimization

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2004

Autores

Costa, L (Autor) Outra; oliveira, p (Autor) Outra

Ata de Conferência Internacional

Título: Metaheuristics: Computer Decision-Making

Páginas: 217-+

Indexação

ISI Web of Knowledge - 6 Citações

Outras Informações

ID Authenticus: P-000-D7S

DOI: 10.1007/978-1-4757-4137-7_10

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 19