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Titlebook: Evolutionary Computing; AISB Workshop, Leeds Terence C. Fogarty Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 algorith

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书目名称Evolutionary Computing
副标题AISB Workshop, Leeds
编辑Terence C. Fogarty
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Evolutionary Computing; AISB Workshop, Leeds Terence C. Fogarty Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 algorith
描述This volume is based on the Workshop on Evolutionary Computing held in Leeds, U.K. in April 1994 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever..The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications, for example in search, robotics, signal processing, machine learning, and scheduling. The papers are organized in sections on theoretical and biological foundations, techniques, classifier systems, and applications.
出版日期Conference proceedings 1994
关键词algorithm; algorithms; artificial intelligence; evolution; evolutionary computation; genetic algorithm; ge
版次1
doihttps://doi.org/10.1007/3-540-58483-8
isbn_softcover978-3-540-58483-4
isbn_ebook978-3-540-48999-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1994
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Genetic algorithms and directed adaptation, examples of directed adaptation in nature and the field of optimised search. A model is described based on directed adaptation and the results of experiments, acting at the level of both the population and the individual, are presented.
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https://doi.org/10.1007/978-94-011-7423-7o learn a complete set of rules. A comparison is also made of the performance of the refined system using only selection to learn individual rules with that of the bucket-brigade and other reinforcement algorithms on the same task.
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Co-evolving Co-operative populations of rules in learning control systems,o learn a complete set of rules. A comparison is also made of the performance of the refined system using only selection to learn individual rules with that of the bucket-brigade and other reinforcement algorithms on the same task.
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Conference proceedings 1994 Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever..The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications,
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