File:DE Meta-Optimization Progress (12 benchmark problems).JPG

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English: 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.
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Author Pedersen, M.E.H., Tuning & Simplifying Heuristical Optimization, PhD Thesis, 2010, University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group.

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current09:11, 19 March 2010Thumbnail for version as of 09:11, 19 March 20101,050 × 603 (95 KB)Optimering (talk | contribs){{Information |Description={{en|1=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. L

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