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＜電子ブック＞
Evolution and Biocomputation : Computational Models of Evolution / edited by Wolfgang Banzhaf, Frank H. Eckman
(Lecture Notes in Computer Science. ISSN:16113349 ; 899)

版	1st ed. 1995.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1995
本文言語	英語
大きさ	VIII, 284 p : online resource
著者標目	Banzhaf, Wolfgang editor Eckman, Frank H editor SpringerLink (Online service)
件　名	LCSH:Evolution (Biology) LCSH:Computer science LCSH:Algorithms LCSH:Artificial intelligence LCSH:Discrete mathematics LCSH:Biomathematics FREE:Evolutionary Biology FREE:Theory of Computation FREE:Algorithms FREE:Artificial Intelligence FREE:Discrete Mathematics FREE:Mathematical and Computational Biology
一般注記	Editors' introduction -- Aspects of optimality behavior in population genetics theory -- Optimization as a technique for studying population genetics equations -- Emergence of mutualism -- Three illustrations of artificial life's working hypothesis -- Self-organizing algorithms derived from RNA interactions -- Modeling the connection between development and evolution: Preliminary report -- Soft genetic operators in Evolutionary Algorithms -- Analysis of selection, mutation and recombination in genetic algorithms -- The role of mate choice in biocomputation: Sexual selection as a process of search, optimization, and diversification -- Genome growth and the evolution of the genotype-phenotype map This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July 1992. This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index HTTP:URL=https://doi.org/10.1007/3-540-59046-3

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