Genetic Algorithm Essentials (Studies in Computational Intelligence)
暫譯: 遺傳演算法精要（計算智慧研究）
Oliver Kramer
- 出版商: Springer
- 出版日期: 2017-01-13
- 售價: $6,330
- 貴賓價: 9.5 折 $6,014
- 語言: 英文
- 頁數: 92
- 裝訂: Hardcover
- ISBN: 3319521551
- ISBN-13: 9783319521558
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相關分類:
Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations.
The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
商品描述(中文翻譯)
本書向讀者介紹遺傳演算法（Genetic Algorithms, GAs），重點在於使所討論的概念、演算法和應用盡可能易於理解。此外，本書避免了大量的形式化，因而使這一主題對於比起那些充斥著符號和方程式的手稿，能夠吸引更廣泛的讀者群。
本書分為三個部分，第一部分提供了對遺傳演算法的介紹，從基本概念如進化運算子開始，並持續介紹調整和控制參數的策略概述。接著，第二部分專注於解空間的變體，如多模態（multimodal）、受限（constrained）和多目標（multi-objective）解空間。最後，第三部分簡要介紹遺傳演算法的理論工具、與機器學習的交集和混合，並突顯一些有前景的應用。
