Journal of Global Optimization

, Volume 11, Issue 4, pp 341–359

Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

  • Rainer Storn
  • Kenneth Price

DOI: 10.1023/A:1008202821328

Cite this article as:
Storn, R. & Price, K. Journal of Global Optimization (1997) 11: 341. doi:10.1023/A:1008202821328


A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means of an extensivetestbed it is demonstrated that the new methodconverges faster and with more certainty than manyother acclaimed global optimization methods. The newmethod requires few control variables, is robust, easyto use, and lends itself very well to parallelcomputation.

Stochastic optimization nonlinear optimization global optimization genetic algorithm evolution strategy 

Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • Rainer Storn
    • 1
  • Kenneth Price
    • 2
  1. 1.Siemens AG, ZFE T SN2MuenchenGermany
  2. 2.VacavilleU.S.A.

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