Passive analog filter design using GP population control strategies

By: Contributor(s): Material type: ArticleArticleDescription: 1 archivo (193,8 KB)Subject(s): Online resources: Summary: This paper presents the use of two different strategies for genetic programming (GP) population growth control: decreasing the computational effort by plagues and dynamic adjustment of fitness; applied to passive analog filters design based on general topologies. Obtained experimental results show that proposed strategies improve the design process performance.
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This paper presents the use of two different strategies for genetic programming (GP) population growth control: decreasing the computational effort by plagues and dynamic adjustment of fitness; applied to passive analog filters design based on general topologies. Obtained experimental results show that proposed strategies improve the design process performance.

Opportunities and challenges for next-generation applied intelligence. Berlín : Springer, 2009 (Studies in computational intelligence ; 214), pp 153-158