The Evolution Strategy

 

作者: PinebrookW.E.,  

 

期刊: International Journal of Modelling and Simulation  (Taylor Available online 1987)
卷期: Volume 7, issue 2  

页码: 81-84

 

ISSN:0228-6203

 

年代: 1987

 

DOI:10.1080/02286203.1987.11760001

 

出版商: Taylor&Francis

 

关键词: Optimization;statistical methods;Evolution;numerical modeling;experimentation;computer programming

 

数据来源: Taylor

 

摘要:

AbstractThe Evolution Strategy is a statistical optimization technique derived from the theory of Evolution, the process through which forms of life adapt themselves to a changing environment. Any system or process which can be described by a finite number of parameters and whose performance can be measured by a "Quality Number" may be optimized through the Evolution Strategy.The Evolution Strategy is especially well suited for experimental optimization whereby the "Objective Function" is unknown.The strongest argument for the Evolution Strategy is that it guarantees conversion to the "Global Optimum".The relative efficiency of the Evolution Strategy increases with the increase of the number of independent system parameters.

 

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