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Titulo: Approach of Genetic Algorithms with Grouping into Species optimized with Predator-Prey method for solving multimodal problems
Tipo: congreso internacional
Congreso: 9th International Symposium on Distributed Computing and Artificial Intelligence
Fecha: 28-30/3/2012
Lugar celebracion: Salamanca (España)
Volumen: 151
Paginas: 689-700
ISSN: 1867-5662
ISBN: 978-3-642-28764-0
Libro: Advances in Intelligence and Soft Computing
Editorial: Springer
doi: 10.1007/978-3-642-28765-7_83


Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. To this end, the idea of dividing the individuals into species has been successfully raised. However, this solution is not free of drawbacks, such as the emergence of redun-dant species, overlapping or performance degradation by significantly increasing the number of individuals to be evaluated. This paper presents the implementation of a method based on the predator-prey technique, with the aim of providing a so-lution to the problem, as well as a number of examples to prove its effectiveness.

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