info presentación miembros líneas investigación publicaciones investigación tesis docencia

[Articulos Revista] [Articulos Congreso] [Reports] [Libros] [Capitulos Libro] [Todo] [Resumen]

Categoria WoS
Titulo: Two-phase multiobjective optimization
Tipo: congreso internacional
Congreso: 6th WSEAS Internacional Conference on Evolutionary Computation(EC`05)
Fecha: 16-18/6/2005
Lugar celebracion: Lisboa (Portugal)
Paginas: 43-48
ISBN: 960-8457-26-2
Libro: Proceedings of the 6th WSEAS 2005 International Conference: Neural Networks, Fuzzy Systems, Evolutionary Computing 2005


This work proposes a genetic algorithm (GA) based approach for the search of the Pareto optimal set of a multiobjective optimization problem. First the global population es dividided into various subpopulations. The algorithm operation consist of two phases: firstly each subpopulation tries to optimize a different objective; later the algorithm searches for good compromise solutions between objectives. Information is exchanged by means of the migration of individuals during the second phase. A weighted sum is used for fitness calculation. Weight vectors are randomly generated for each selection event, wich creates a wide range of search directions. The good behaviour of the proposed algorithm becomes visible in its application to some continuous problems.

    .: SABIA :.  Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial