| 书目名称 | Genetic Algorithms + Data Structures = Evolution Programs | | 编辑 | Zbigniew Michalewicz | | 视频video | | | 丛书名称 | Artificial Intelligence | | 图书封面 |  | | 描述 | ‘What does your Master teach?‘ asked a visitor. ‘Nothing,‘ said the disciple. ‘Then why does he give discourses?‘ ‘He only points the way - he teaches nothing.‘ Anthony de Mello, One Minute Wisdom During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively par allel computers made these algorithms of practical interest. The best known algorithms in this class include evolutionary programming, genetic algorithms, evolution strategies, simulated annealing, classifier systems, and neural net works. Recently (1-3 October 1990) the University of Dortmund, Germany, hosted the First Workshop on Parallel Problem Solving from Nature [164]. This book discusses a subclass of these algorithms - those which are based on the principle of evolution (survival of the fittest). In such algorithms a popu lation of individuals (potential solutions) undergoes a sequence of unary (muta tion type) and higher order (crossover type) transformations. These individuals strive for survival: a selection scheme, biased towards fitter individuals, selects the next generation. After some number of generations, the progr | | 出版日期 | Book 19921st edition | | 关键词 | algorithm; algorithms; artificial intelligence; computer science; control; data structure; data structures | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-02830-8 | | isbn_ebook | 978-3-662-02830-8Series ISSN 1431-0066 | | issn_series | 1431-0066 | | copyright | Springer-Verlag Berlin Heidelberg 1992 |
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发表于 2025-3-21 19:47:21
