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: 6th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2005), JUL 06-08, 2005, Brisbane.
dynamic.pdf - Published Version
Restricted to Registered users only
Download (159Kb) | Request a copy
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:||28 Apr 2010 06:55|
|Last Modified:||19 Sep 2010 06:00|
Actions (login required)