info presentación miembros líneas investigación publicaciones investigación tesis docencia

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

Categoria WoS
  • Evolutionary Computation
  • Genetic Algorithms
Titulo: Two-Population Genetic Algorithm: an Approach to Improve the Population Diversity
Tipo: congreso internacional
Congreso: International Conference on Agents and Artificial Intelligence (ICAART 2010)
Fecha: 22-24/1/2010
Lugar celebracion: Valencia (España)
Volumen: 1
Paginas: 635-639
ISBN: 978-989-674-021-4
Libro: Proceedings of ICAART 2010


Genetic Algorithms (GAs) are a technique that has given good results to those problems that require a search through a complex space of possible solutions. A key point of GAs is the necessity of maintaining the diversity in the population. Without this diversity, the population converges and the search prematurely stops, not being able to reach the optimal solution. This is a very common situation in GAs. This paper proposes a modification in traditional GAs to overcome this problem, avoiding the loose of diversity in the population. This modification allows an exhaustive search that will provide more than one valid solution in the same execution of the algorithm

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