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Titlebook: Parallel Problem Solving from Nature - PPSN III; International Confer Yuval Davidor,Hans-Paul Schwefel,Reinhard Männer Conference proceedin

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书目名称Parallel Problem Solving from Nature - PPSN III
副标题International Confer
编辑Yuval Davidor,Hans-Paul Schwefel,Reinhard Männer
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Parallel Problem Solving from Nature - PPSN III; International Confer Yuval Davidor,Hans-Paul Schwefel,Reinhard Männer Conference proceedin
描述This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994..With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.
出版日期Conference proceedings 1994
关键词algorithm; algorithms; computer; fuzzy; fuzzy system; fuzzy systems; genetic algorithms; genetic programmin
版次1
doihttps://doi.org/10.1007/3-540-58484-6
isbn_softcover978-3-540-58484-1
isbn_ebook978-3-540-49001-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1994
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Ryohei Nakano,Yuval Davidor,Takeshi Yamadata and for making model-based predictions of the geometry. The single best quality control for an interpretation is to build an internally consistent, 3-D model of the entire structure. Many of the individual problems noted in the following sections would be obvious in 3-D. The following sections di
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Studying genotype-phenotype interactions: A model of the evolution of the cell regulation network,to account its structure, its behavior and its ontogenetic development. This model provides a new biological metaphor in which the cell is considered as a cybernetic system that can be programmed using a genetic algorithm.
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Step-size adaptation based on non-local use of selection information, conventional adaptation scheme, this enables a less locally determined step-size control and allows a much faster adaptation of individual step-sizes without increasing disturbing random effects and without additional evaluations of the fitness function. The adaptation of the general step-size can be improved as well.
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Lamarckian evolution, the Baldwin effect and function optimization,yed to change the fitness of strings, but the acquired improvements do not change the genetic encoding of the individual. The latter search method exploits the Baldwin effect. By modeling a simple genetic algorithm we show that functions exist where simple genetic algorithms without learning as well
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Control of parallel population dynamics by social-like behavior of GA-individuals, preserve genotype diversity we develop a new model of auto-adaptive behavior for individuals. In this model a population member is an active individual that assumes social-like behavior patterns. Different individuals living in the same population can assume different patterns. By moving in a hiera
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Studying genotype-phenotype interactions: A model of the evolution of the cell regulation network,etwork. This network is modeled by a continuous recurrent automata network, which describes both direct and indirect interactions between proteins. To mimic evolutionary processes, a particular genetic algorithm is used to simulate the environmental influences on the interactions between proteins. T
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