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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)
Variable Size Population in Parallel Evolutionary Algorithms
Wroclaw, Poland
September 08-September 10
ISBN: 0-7695-2286-6
Gabriela F. Minetti, Universidad Nacional de La Pampa, Argentina
Hugo A. Alfonso, Universidad Nacional de La Pampa, Argentina
Considering the population size is a critical parameter to define in evolutionary computation, in this paper an improved parallel evolutionary algorithm that incorporates different mechanisms to adapt the population size to the current status, is presented. Those mechanisms are based on Resizing on Fitness Improvement GA (PRoFIGA) and Variable Population Size (GAVaPS). Results indicate these incorporations are a reasonable choice when refinement in solutions is necessary.
Citation:
Gabriela F. Minetti, Hugo A. Alfonso, "Variable Size Population in Parallel Evolutionary Algorithms," isda, pp.350-355, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005
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