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Titlebook: Evolutionary Programming VI; 6th International Co Peter J. Angeline,Robert G. Reynolds,Russ Eberhart Conference proceedings 1997 Springer-V

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書目名稱Evolutionary Programming VI
副標(biāo)題6th International Co
編輯Peter J. Angeline,Robert G. Reynolds,Russ Eberhart
視頻videohttp://file.papertrans.cn/319/318009/318009.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Evolutionary Programming VI; 6th International Co Peter J. Angeline,Robert G. Reynolds,Russ Eberhart Conference proceedings 1997 Springer-V
描述This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Programming, EP 97, held in Indianapolis, IN, USA, in April 1997..The 36 revised full papers presented were carefully selected for inclusion in the proceedings. The papers are organized in sections on evolutionary methods for modeling and training, alternative frameworks for the computational study of evolutionary social systems, genetic programming: issues and applications, issues in evolutionary optimization, enhanced evolutionary operators, theory and analysis of evolutionary computations, issues in adaptability: theory and practice, and evolution and NP-hard problems.
出版日期Conference proceedings 1997
關(guān)鍵詞Evolution?res Lernen; Evolution?res Optimieren; Evolution?res Programmieren; Genetische Algorithmen; Gen
版次1
doihttps://doi.org/10.1007/BFb0014795
isbn_softcover978-3-540-62788-3
isbn_ebook978-3-540-68518-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1997
The information of publication is updating

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https://doi.org/10.1057/9781137449405ce Computing Environment. PEPNet, Parallel EPNet, implements four forms of parallelism and this paper describes two of those parallelisms. Experimental studies have shown promising results with better time and prediction performance.
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School Development in Tough Times,ex systems with heterogeneous elements or agents. These libraries provide reusable objects for analyzing, displaying and controlling simulation experiments. Swarm is not based on any assumptions about the system that is being simulated, and is currently being used by a wide variety of researchers in
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Christine D. Tippett,Todd M. Milfordcessfully applied to modest tasks because of the performance overheads of evolving a large number of data structures, many of which do not correspond to a valid program. We address this problem directly and demonstrate how the evolutionary process can be achieved with much greater efficiency through
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Exploring Emotion in Reformation Scotlande of the parents selected for crossover is replaced with a randomly generated parent, the algorithm performs as well or better than crossover for some problems. [13] termed this form of macromutation .. The following paper investigates two forms of headless chicken crossover for manipulating parse t
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