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/vol10/digala02/ | © Copyright 2001 | |||
| Volume 10 | Received: Accepted: |
16 Mar 2001 20 Dec 2003 |
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Performance comparison of memetic algorithms
Digalakis, J. G. & Margaritis, K. G. |
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| Abstract | |
| Local search techniques have been applied in optimization methods. The effect of local search to the memetic algorithms can make multimodal and non-linear problems easier to solve. Parameters considered include the effect of population size and recombination mechanisms. Experiments comparing four local search techniques for a memetic algorithm are represent. Further, we have adopted a global parallelization approach that preserves the properties, behavior, and fundamental of the sequential algorithm. | |