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- W44138903 abstract "In evolutionary computation, principles of selection and evolution are applied to competing populations of algorithms. The individual's is thus a representation of an algorithm, which is expressed as a behavior in its environment. A number of different representations for the genotype have been used in other experiments. In order for adaptation to be flexible, this representation must effectively accommodate heritable mutations in a space that produces viable genotypes; also, in the case of crossover, it would appear ideal for cohesive parts of the genotype to be traded. We propose a modular boolean logic network representation, allowing for mutation and crossover of nested and recurring modules of interconnected boolean functions, and explore the effects of varied levels of modularity in these networks. The networks are employed as controllers in a 2-dimensional game of pursuit and evasion between simulated agents." @default.
- W44138903 created "2016-06-24" @default.
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- W44138903 date "2005-05-01" @default.
- W44138903 modified "2023-09-28" @default.
- W44138903 title "Evolutionary computation: exploring the genotype representation" @default.
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