In computer science, Evolution strategy (ES, from German Evolutionstrategie) is an optimization technique based on ideas of adaptation and evolution. It belongs to a more general class of Evolutionary computation.

Evolution strategy uses primarily real-vector coding, mutation, recombination, and selection as its primary operators. Mutation is performed by adding a gaussian distributed random value. The step size (ie. the variance of this distribution) is usually adapted during the optimization, which should keep the evolutionary process within the Evolution Window .

See also

Bionics

References

• H.-G. Beyer and H.-P. Schwefel. Evolution Strategies: A Comprehensive Introduction. Journal Natural Computing, 1(1):3-52, 2002.
• Ingo Rechenberg: Evolutionsstrategie '94. Stuttgart: Frommann-Holzboog 1994.
• Hans-Paul Schwefel: Evolution and Optimum Seeking: New York: Wiley & Sons 1995.