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Evolutionary Algorithms

  • Yaochu Jin
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 112)

Abstract

The basic idea behind evolutionary algorithm is to simulate the natural process of evolution to achieve systems that are able to improve themselves by applying three main genetic operations called recombination, mutation and selection. Through these conceptually simple operations, evolutionary algorithms are able to exhibit very attractive properties such as self-organization, adaptation, optimization and creation. Due to these properties, evolutionary algorithms have been widely applied in the fields ranging from the basic research on biological intelligence such as artificial life [151] to real word applications such as design optimization [181].

Keywords

Genetic Algorithm Evolutionary Algorithm Pareto Front Strategy Parameter Approximate Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2003

Authors and Affiliations

  • Yaochu Jin
    • 1
  1. 1.Future Technology ResearchHonda R&D Europe GmbHOffenbach/MainGermany

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