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Titlebook: Genetic and Evolutionary Computation — GECCO 2004; Genetic and Evolutio Kalyanmoy Deb Conference proceedings 2004 Springer-Verlag Berlin He

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书目名称Genetic and Evolutionary Computation — GECCO 2004
副标题Genetic and Evolutio
编辑Kalyanmoy Deb
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Genetic and Evolutionary Computation — GECCO 2004; Genetic and Evolutio Kalyanmoy Deb Conference proceedings 2004 Springer-Verlag Berlin He
描述.The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004...The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering..
出版日期Conference proceedings 2004
关键词biologically-inspired computing; coevolution; evolutionary algorithms; evolutionary computing; evolution
版次1
doihttps://doi.org/10.1007/b98643
isbn_softcover978-3-540-22344-3
isbn_ebook978-3-540-24854-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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Sustainable Deltas in the Anthropocene, that each fitness evaluation function is both “aligned” with the global evaluation function and is “learnable,” i.e., the agents can readily see how their behavior affects their evaluation function. We then show how these agent-specific evaluation functions outperform global evaluation methods by u
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https://doi.org/10.1007/978-3-531-19453-0rovide the overall solution in quicker time than an established bi-criterion ACO technique, that is concerned only with routing between the start and destination nodes. Moreover, we show that the new technique both determines more routes on the Pareto front, and results in a 20% increase in solution
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https://doi.org/10.1007/978-3-662-53666-7this algorithm matches or surpasses other algorithms including an ant colony optimization algorithm, a tabu search algorithm, an evolutionary algorithm and a greedy-based algorithm on all but one of the 138 tested instances.
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,«Der Mensch Wird zur Arbeit Geboren …»,ontogenetic levels. Second, ALife complexity measures have interesting parallels in theoretical neuroscience. Finally, the cerebral internalization of sensory stimuli and motor control explain, respectively, a) semantics in terms of differential complexity, and b) how neural evolution has overcome the limitations of simple emergence.
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