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Titlebook: Genetic and Evolutionary Computation - GECCO 2003; Genetic and Evolutio Erick Cantú-Paz,James A. Foster,Julian Miller Conference proceeding

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发表于 2025-3-21 19:30:25 | 显示全部楼层 |阅读模式
书目名称Genetic and Evolutionary Computation - GECCO 2003
副标题Genetic and Evolutio
编辑Erick Cantú-Paz,James A. Foster,Julian Miller
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Genetic and Evolutionary Computation - GECCO 2003; Genetic and Evolutio Erick Cantú-Paz,James A. Foster,Julian Miller Conference proceeding
出版日期Conference proceedings 2003
关键词agents; algorithm; algorithms; evolution; evolutionary computation; genetic algorithm; genetic algorithms;
版次1
doihttps://doi.org/10.1007/3-540-45105-6
isbn_softcover978-3-540-40602-0
isbn_ebook978-3-540-45105-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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Ant Colony Programming for Approximation Problemsdea of ant colony programming in which instead of a genetic algorithm an ant colony algorithm is applied to search for the program. The test results demonstrate that the proposed idea can be used with success to solve the approximation problems.
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Long-Term Competition for Light in Plant Simulation 3D environment, are based on a multi-agent model. Natural oaks and beeches develop two different strategies to exploit light. The model presented in this paper uses these properties during the plant growth. Most of the results are close to those obtained in natural conditions on long-term evolution of forests.
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Pick und andere fokale Hirnatrophienopulation of digital organisms (self-replicating computer programs) that evolve subject to natural selection, mutation, and drift. We compare the performance of neighbor-joining and maximum parsimony algorithms on these Avida populations to the performance of the same algorithms on randomly generate
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