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Titlebook: Evolutionary Algorithms in Engineering Applications; Dipankar Dasgupta,Zbigniew Michalewicz Book 1997 Springer-Verlag Berlin Heidelberg 19

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書目名稱Evolutionary Algorithms in Engineering Applications
編輯Dipankar Dasgupta,Zbigniew Michalewicz
視頻videohttp://file.papertrans.cn/318/317816/317816.mp4
圖書封面Titlebook: Evolutionary Algorithms in Engineering Applications;  Dipankar Dasgupta,Zbigniew Michalewicz Book 1997 Springer-Verlag Berlin Heidelberg 19
描述Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.
出版日期Book 1997
關(guān)鍵詞Datenverarbeitung; algorithm; algorithms; architecture; computer; computer science; data compression; elect
版次1
doihttps://doi.org/10.1007/978-3-662-03423-1
isbn_softcover978-3-642-08282-5
isbn_ebook978-3-662-03423-1
copyrightSpringer-Verlag Berlin Heidelberg 1997
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The Generation of Form Using an Evolutionary Approach chromosomes which comprise genes representing design grammar rules. Evaluation is carried out both through the use of a fitness function and through human interaction. The concepts are exemplified in the context of the design of house plans.
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A Genetic Algorithm Approach for River Managements the use of an accurate system model while retaining powerful search capabilities. The effectiveness of this approach is demonstrated by the results of its application to a complex hydraulic/economic problem based on the Rio Grande Project in southern New Mexico.
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The Identification and Characterization of Workload Classesthe workload of computer systems. The GA identifies both the number of workload classes and the class centroids. The proposed new technique appears to outperform K-means clustering, an accepted workload characterization technique.
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Genetic Engineering and Design Problemstional process. We apply it to the solution of a spatial layout planning problem as an example of an NP-complete problem and to case-based layout design as an example of a class of problem which cannot be solved directly using traditional genetic algorithms.
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Gate-Level Evolvable Hardware: Empirical Study and Applicationd by genetic algorithms (GA). This paper describes the fundamental principle of the gate-level EHW and its improvement by the MDL-based fitness evaluation. The effectiveness of our approach is shown by comparative experiments and a successful application. We also discuss the current extension of EHW and related works.
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