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| Keywords: DE Meta-Optimization Progress (12 benchmark problems).JPG en Meta-optimization progress of finding good behavioural parameters NP and F of Differential Evolution DE with a fixed parameter CR 0 9 when DE is used for optimizing several benchmark problems problems in aggregate Lines show moves made by the meta-optimizer the method Local Unimodal Sampling or LUS is being used as meta-optimizer crosses show moves contemplated but not taken as they would lead to worse meta-fitness These are superimposed on the meta-fitness or performance landscape to show the valley of good performing parameters is actually found Own Pedersen M E H http //www hvass-labs org/people/magnus/thesis/pedersen08thesis pdf Tuning Simplifying Heuristical Optimization PhD Thesis 2010 University of Southampton School of Engineering Sciences Computational Engineering and Design Group 2010-01-01 Evolutionary algorithms Optimization Benchmarks | ||||
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