TY  - GEN
T1  - GAAP. Genetic algorithm with auxiliary populations applied to continuous optimization problems
A1  - Corbalán, Leonardo César
A2  - Hasperué, Waldo
A2  - Lanzarini, Laura Cristina
LA  - English
UL  - http://vufind10-pruebas.sigbunlp.bibliotecas.unlp.edu.ar/Record/dif.55731
AB  - 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.
NO  - Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
KW  - OPTIMIZACIÓN
ER  -