GAAP. Genetic algorithm with auxiliary populations applied to continuous optimization problems
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| Otros autores o Colaboradores: | , |
| Formato: | Capítulo de libro |
| Lengua: | inglés |
| Temas: | |
| Acceso en línea: | http://dx.doi.org/10.2498/iti.2012.0382 Consultar en el Cátalogo |
| Resumen: | Genetic algorithms have been used successfully to solve continuous optimization problems. However, an early convergence to low-quality solutions is one of the most common difficulties encountered when using these strategies. In this paper, a method that combines multiple auxiliary populations with the main population of the algorithm is proposed. The role of the auxiliary populations is dual: to prevent or hinder the early convergence to local suboptimal solutions, and to provide a local search mechanism for a greater exploitation of the most promising regions within the search space. |
| Notas: | Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) |
| Descripción Física: | 1 archivo (154,9 KB) |
| DOI: | 10.2498/iti.2012.0382 |