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Titlebook: Genetic Algorithms + Data Structures = Evolution Programs; Zbigniew Michalewicz Book 19942nd edition Springer-Verlag Berlin Heidelberg 199

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書(shū)目名稱Genetic Algorithms + Data Structures = Evolution Programs
編輯Zbigniew Michalewicz
視頻videohttp://file.papertrans.cn/383/382436/382436.mp4
圖書(shū)封面Titlebook: Genetic Algorithms + Data Structures = Evolution Programs;  Zbigniew Michalewicz Book 19942nd edition Springer-Verlag Berlin Heidelberg 199
描述.Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques has been growing in the last decade, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science..The book is self-contained and the only prerequisite is basic undergraduate mathematics. It is aimed at researchers, practitioners, and graduate students in computer science and artificial intelligence, operations research, and engineering..This second edition includes several new sections and many references to recent developments. A simple example of genetic code and an index are also added. Writing an evolution program for a given problem should be an enjoyable experience - this book may serve as a guide to this task..
出版日期Book 19942nd edition
關(guān)鍵詞Optimierung; Suchalgorithmen; algorithm; algorithms; artificial intelligence; data structure; data structu
版次2
doihttps://doi.org/10.1007/978-3-662-07418-3
isbn_ebook978-3-662-07418-3
copyrightSpringer-Verlag Berlin Heidelberg 1994
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GAs: Why Do They Work? — a template allowing exploration of similarities among chromosomes. A schema is built by introducing a . symbol (*) into the alphabet of genes. A schema represents all strings (a hyperplane, or subset of the search space), which match it on all positions other than ‘*’.
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The Traveling Salesman Probleme traveling salesman problem (TSP) is just one of such applications; however, we treat it as a special problem — the mother of all problems — and discuss it in a separate chapter. What are the reasons?
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Drawing Graphs, Scheduling, Partitioning, and Path Planningmosome representation or by designing problem-specific genetic operators (e.g., [104], [294], [48], [56], etc.) to accommodate the problem to be solved, thus building efficient evolution programs. The first two modifications were discussed in detail in the previous two chapters (Chapters 9 and 10) f
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