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Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces (1995)
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BibTeX
@MISC{Storn95differentialevolution,
author = {Rainer Storn and Kenneth Price},
title = {Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces},
year = {1995}
}
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Abstract
A new heuristic approach for minimizing possibly nonlinear and non differentiable continuous space functions is presented. By means of an extensive testbed, which includes the De Jong functions, it will be demonstrated that the new method converges faster and with more certainty than Adaptive Simulated Annealing as well as the Annealed Nelder&Mead approach, both of which have a reputation for being very powerful. The new method requires few control variables, is robust, easy to use and lends itself very well to parallel computation. ________________________________________ 1) International Computer Science Institute, 1947 Center Street, Berkeley, CA 94704-1198, Suite 600, Fax: 510-643-7684. E-mail: storn@icsi.berkeley.edu. On leave from Siemens AG, ZFE T SN 2, OttoHahn -Ring 6, D-81739 Muenchen, Germany. Fax: 01149-636-44577, Email: rainer.storn@zfe.siemens.de. 2) 836 Owl Circle, Vacaville, CA 95687, kprice@solano.community.net. Introduction Problems which involve global optimiz...
Keyphrases
differential evolution simple continuous space efficient adaptive scheme global optimization center street zfe sn introduction problem adaptive simulated annealing ottohahn ring storn icsi de jong function new method non differentiable continuous space function extensive testbed new heuristic approach siemens ag annealed nelder mead approach global optimiz owl circle kprice solano storn zfe control variable d-81739 muenchen international computer science institute new method converges
