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Titlebook: Computational Intelligence; Collaboration, Fusio Christine L. Mumford,Lakhmi C. Jain Book 2009 Springer-Verlag Berlin Heidelberg 2009 Multi

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书目名称Computational Intelligence
副标题Collaboration, Fusio
编辑Christine L. Mumford,Lakhmi C. Jain
视频videohttp://file.papertrans.cn/233/232375/232375.mp4
概述Latest research in the area of theory and applications of fusion of intelligent paradigms
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Computational Intelligence; Collaboration, Fusio Christine L. Mumford,Lakhmi C. Jain Book 2009 Springer-Verlag Berlin Heidelberg 2009 Multi
描述This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian
出版日期Book 2009
关键词Multi-agent system; agents; case-based reasoning; computational intelligence; evolution; evolutionary alg
版次1
doihttps://doi.org/10.1007/978-3-642-01799-5
isbn_softcover978-3-642-24262-5
isbn_ebook978-3-642-01799-5Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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M. H. A. Davis,Steven I. Marcustics in order to solve hard computational search problems. An extension of the original hyper-heuristic idea is to generate new heuristics which are not currently known. These approaches operate on a search space of heuristics rather than directly on a search space of solutions to the underlying pro
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https://doi.org/10.1007/978-3-031-54071-4ion, and autonomy of design agents has been recognized as the main contributor to novelty and innovation of solutions. Unfortunately, agents’ autonomy can make the design environment chaotic and inefficient. To address this dilemma of distributed versus central control in complex system design, deci
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