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Titlebook: Evolutionary Algorithms; Lawrence David Davis,Kenneth Jong,L. Darrell Whitl Book 1999 Springer-Verlag New York,Inc. 1999 control.evolution

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書目名稱Evolutionary Algorithms
編輯Lawrence David Davis,Kenneth Jong,L. Darrell Whitl
視頻videohttp://file.papertrans.cn/318/317806/317806.mp4
叢書名稱The IMA Volumes in Mathematics and its Applications
圖書封面Titlebook: Evolutionary Algorithms;  Lawrence David Davis,Kenneth Jong,L. Darrell Whitl Book 1999 Springer-Verlag New York,Inc. 1999 control.evolution
描述This IMA Volume in Mathematics and its Applications EVOLUTIONARY ALGORITHMS is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING." I thank Lawrence David Davis (Tica Associates), Kenneth De Jong (Computer Science, George Mason University), Michael D. Vose (Computer Science, The University of Tennessee), and L. Darrell Whitley (Computer Science, Colorado State University) for their excellent work in organizing the workshop and for editing the proceedings. Further appreciation is ex- tended to Donald G. Truhlar (Chemistry and Supercomputing Institute, University of Minnesota) who was also one of the workshop organizers. In addition, I also take this opportunity to thank the National Science Foundation (NSF), Minnesota Supercomputing Institute (MSI), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr., Professor and Director v PREFACE The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers working in the area of Evolutionary Com- putation for a week of intensive interaction. The field of Evolutionary Computatio
出版日期Book 1999
關(guān)鍵詞control; evolution; evolutionary algorithm; evolutionary computation; evolutionary strategies; genetic al
版次1
doihttps://doi.org/10.1007/978-1-4612-1542-4
isbn_softcover978-1-4612-7185-7
isbn_ebook978-1-4612-1542-4Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York,Inc. 1999
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https://doi.org/10.1007/978-3-642-47867-3me and space. These equations are typically nonlinear with real-valued parameters that control the classes of behaviors that the model is able to produce. Unfortunately, these control parameters are often difficult to measure in the physical system. Consequently, the first task in developing a model
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https://doi.org/10.1007/978-3-658-34345-3begins with an upper GA that searches for appropriate functional forms given a user defined set of primitives and the candidate independent variables. Each functional form is encoded as a tree structure, where variables, coefficients and functional primitives are linked. The functional forms are sen
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