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Bachelor thesis:Heterogeneous Parallel Genetic Algorithm ( PDF )
Author:Černý Jan
Supervisor:Ing. Jiří Kubalík Ph.D.
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Abstract:This thesis compares performance of heterogeneous and homogeneous parallel genetic algorithms for optimization of real functions. For the purpose of this experiment an optimization application capable of both homogeneous and heterogeneous evolution has been created. It has been shown that on several benchmark problems heterogeneous approach give better results while it fails on some others.
Submited:Jun 2010
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