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Titlebook: Introduction to Evolutionary Computing; A.E. Eiben,J.E. Smith Textbook 2015Latest edition Springer-Verlag GmbH Germany, part of Springer N

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發(fā)表于 2025-3-21 19:32:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Introduction to Evolutionary Computing
編輯A.E. Eiben,J.E. Smith
視頻videohttp://file.papertrans.cn/474/473690/473690.mp4
概述New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithms.Includes a new chapter on evolutionary robotics.Combines chapte
叢書名稱Natural Computing Series
圖書封面Titlebook: Introduction to Evolutionary Computing; A.E. Eiben,J.E. Smith Textbook 2015Latest edition Springer-Verlag GmbH Germany, part of Springer N
描述.The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field..The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization..
出版日期Textbook 2015Latest edition
關(guān)鍵詞Estimation of Distribution Algorithms (EDA); Evolution Strategies (ES); Evolutionary Algorithm (EA); Ev
版次2
doihttps://doi.org/10.1007/978-3-662-44874-8
isbn_softcover978-3-662-49985-6
isbn_ebook978-3-662-44874-8Series ISSN 1619-7127 Series E-ISSN 2627-6461
issn_series 1619-7127
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2015
The information of publication is updating

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Natural Computing Serieshttp://image.papertrans.cn/i/image/473690.jpg
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發(fā)表于 2025-3-22 01:52:37 | 只看該作者
Popular Evolutionary Algorithm Variantsces those historical EA variants without which no EC textbook would be complete together with some more recent versions that deserve their own place in the family tableau. On the other hand, it demonstrates the diversity of realisations of the same basic evolutionary algorithm concept.
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Working with Evolutionary Algorithmse guidelines for doing this, including the issues of algorithm performance measures, statistics, and benchmark test suites. The example application (Sect. 9.4) is also adjusted to the special topics here; it illustrates the application of different experimental practices, rather than EA design.
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978-3-662-49985-6Springer-Verlag GmbH Germany, part of Springer Nature 2015
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https://doi.org/10.1007/978-3-662-44874-8Estimation of Distribution Algorithms (EDA); Evolution Strategies (ES); Evolutionary Algorithm (EA); Ev
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發(fā)表于 2025-3-23 00:51:09 | 只看該作者
ility. Printed power sources have recently been in the spotlight as a promising system because of their various form factors and performance compatibility with electronics. Hence, extensive research on advanced materials has been conducted to achieve both facile processing and high performance of pr
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ow the flow rules that controllers send. However, when conflicts between policies in applications happen, the flow rules they send may conflict too, then the behavior of switches may not be as expected. Moreover, the process of pipeline with multiple tables has made the match of flow rules more flex
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