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Titlebook: Evolutionary Programming VII; 7th International Co V. W. Porto,N. Saravanan,A. E. Eiben Conference proceedings 1998 Springer-Verlag Berlin

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书目名称Evolutionary Programming VII
副标题7th International Co
编辑V. W. Porto,N. Saravanan,A. E. Eiben
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Evolutionary Programming VII; 7th International Co V. W. Porto,N. Saravanan,A. E. Eiben Conference proceedings 1998 Springer-Verlag Berlin
描述This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Evolutionary Programming, EP98, held in San Diego, CA, USA, in March 1998..The volume presents 81 revised full papers selected from an overwhelming number of submissions. The papers are organized in topical sections on economics, emergence and complex systems; issues and innovations in evolutionary computation; applications; evolution-based approaches to engineering design; examining representations and operators; evolutionary computation theory; evolutionary computation and biological modeling; particle swarm; and combinations of evolutionary and neural computation.
出版日期Conference proceedings 1998
关键词Evolution Strategies; Evolutionary Programming; Genetic Algorithms; Genetic Programming; algorithms; comp
版次1
doihttps://doi.org/10.1007/BFb0040753
isbn_softcover978-3-540-64891-8
isbn_ebook978-3-540-68515-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1998
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Preferential partner selection in evolutionary labor markets: A study in agent-based computational ntractual partners and endogenously evolving work-site behavior. Three types of labor market structures are examined: two-sided markets comprising workers and employers; partially fluid markets comprising pure workers, pure employers, and agents capable of functioning both as workers and as employer
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Subspace pursuit for exploratory modeling, can provide users with visualizations of two of three dimensional slices through such a space, but need to automate finding interesting pictures from among the very large number of possible slices. This problem, which can be called “subspace pursuit”, has proven very important for recent work in us
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,Complete classes of strategies for the Classical Iterated Prisoner’s Dilemma,d be used in order to generate automatically a great numbers of strategies. Then we show some results of ecological evolution on those strategies, with the description of the experimentations we have made. Our main purpose is to find an objective method to evaluate strategies for the CIPD. Finally w
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Evolutionary computing in multi-agent environments: Operators,operators of mutation and recombination. Using the tuneable . model of multi-agent evolution it is shown that the benefits of simple recombination and mutation vary depending on the type of system, with bit mutation capable of doing as well as recombination in systems with significant inter-agent ep
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Testing three paradigms for evolving groups of cooperative, simple agents,le representations of a population or group of populations used to evolve a cooperative simulated robot team. The goal of this work is to identify the effect of the different representations upon the total group effectiveness and individual contributions of group members.
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Acquisition of general adaptive features by evolution, over time? We find statistically significant appearance of general adaptive features in a spatially distributed population of prisoner‘s dilemma playing agents in a noisy environment. Multiple populations are evolved in an evolutionary algorithm structured as a cellular automaton with states drawn
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Hybrid interior-lagrangian penalty based evolutionary optimization,f the earlier method of Evolian (evolutionary optimization based on Lagrangian), the difference comes in the form of the penalty function. The hybrid of an interior penalty and augmented Lagrangian function ensures the generation of feasible solutions during the evolutionary search process with less
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