Srinivasa, KG and Sridharan, K and Shenoy, PD and Venugopal, KR and Patnaik, LM (2005) A Dynamic Migration Model for self-adaptive Genetic Algorithms. In: Lecture Notes in Computer Science, JUL 06-08, 2005, Brisbane.
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In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters of population size, the number of points of crossover and mutation rate for each population are fixed adaptively. Further, the migration of individuals between populations is decided dynamically. This paper gives a mathematical schema analysis of the method stating and showing that the algorithm exploits previously discovered knowledge for a more focused and concentrated search of heuristically high yielding regions while simultaneously performing a highly explorative search on the other regions of the search space. The effective performance of the algorithm is then shown using standard testbed functions, when compared with Island model GA(IGA) and Simple GA(SGA).
|Item Type:||Conference Paper|
|Additional Information:||Copyright of this article belongs to Springer.|
|Date Deposited:||26 May 2010 10:30|
|Last Modified:||19 Sep 2010 06:06|
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