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    樓主: ievans
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    [書籍推薦] 【遺傳算法與工程】推薦兩本遺傳算法的經(jīng)典書籍,玄光男等著 [推廣有獎]

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    ievans 發(fā)表于 2018-12-30 18:00:17 |只看作者 |壇友微信交流群|倒序 |AI寫論文
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    第一本:Genetic Algorithms and Engineering Design (1997)

    The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial engineering. Genetic Algorithms and Engineering Design is the only book to cover the most recent technologies and their application to manufacturing, presenting a comprehensive and fully up-to-date treatment of genetic algorithms in industrial engineering and operations research.

    Beginning with a tutorial on genetic algorithm fundamentals and their use in solving constrained and combinatorial optimization problems, the book applies these techniques to problems in specific areas--sequencing, scheduling and production plans,         transportation and vehicle routing, facility layout, location-allocation, and more. Each topic features a clearly written problem description, mathematical model, and summary of conventional heuristic algorithms. All algorithms are explained in intuitive,         rather than highly-technical, language and are reinforced with illustrative figures and numerical examples.

    Written by two internationally acknowledged experts in the field, Genetic Algorithms and Engineering Design features original material on the foundation and application of genetic algorithms, and also standardizes the terms and symbols used in other sources--making this complex subject truly accessible to the beginner as well as to the more advanced reader.

    Ideal for both self-study and classroom use, this self-contained reference provides indispensable state-of-the-art guidance to professionals and students working in industrial engineering, management science, operations research, computer science, and artificial intelligence. The only comprehensive, state-of-the-art treatment available on the use of genetic algorithms in industrial engineering and operations research . . .

    Written by internationally recognized experts in the field of genetic algorithms and artificial intelligence, Genetic Algorithms and Engineering Design provides total coverage of current technologies and their application to manufacturing systems. Incorporating original material on the foundation and application of genetic algorithms, this unique resource also standardizes the terms and symbols used in other sources--making this complex subject truly accessible to students as well as experienced professionals. Designed for clarity and ease of use, this self-contained reference:

    * Provides a comprehensive survey of selection strategies, penalty techniques, and genetic operators used for constrained and combinatorial optimization problems
    * Shows how to use genetic algorithms to make production schedules, solve facility/location problems, make transportation/vehicle routing plans, enhance system reliability, and much more         
    * Contains detailed numerical examples, plus more than 160 auxiliary figures to make solution procedures transparent and understandable

    第二本:Genetic Algorithms and Engineering Optimization (1999)

    A comprehensive guide to a powerful new analytical tool by two of  its foremost innovators

    The past decade has witnessed many exciting advances in the use of  genetic algorithms (GAs) to solve optimization problems in  everything from product design to scheduling and client/server  networking. Aided by GAs, analysts and designers now routinely  evolve solutions to complex combinatorial and multiobjective  optimization problems with an ease and rapidity unthinkable  withconventional methods. Despite the continued growth and  refinement of this powerful analytical tool, there continues to be  a lack of up-to-date guides to contemporary GA optimization  principles and practices. Written by two of the world's leading  experts in the field, this book fills that gap in the  literature.

    Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ  numerous illustrations and real-world examples to help readers gain  a thorough understanding of basic GA concepts-including encoding,  adaptation, and genetic optimizations-and to show how GAs can be  used to solve an array of constrained, combinatorial,  multiobjective, and fuzzy optimization problems. Focusing on  problems commonly encountered in industry-especially in  manufacturing-Professors Gen and Cheng provide in-depth coverage of  advanced GA techniques for:

      * Reliability design
      * Manufacturing cell design
      * Scheduling
      * Advanced transportation problems
      * Network design and routing

    Genetic Algorithms and Engineering Optimization is an indispensable  working resource for industrial engineers and designers, as well as  systems analysts, operations researchers, and management scientists  working in manufacturing and related industries. It also makes an  excellent primary or supplementary text for advanced courses in  industrial engineering, management science, operations research,  computer science, and artificial intelligence.

    這兩本書國內(nèi)都有中文翻譯版,論壇上都有,我就直接貼鏈接了:

    第一本:遺傳算法與工程設計:http://xalimeijing.com/thread-2141449-1-1.html
    第二本:遺傳算法與工程優(yōu)化:http://xalimeijing.com/thread-2721101-1-1.html



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    關鍵詞:遺傳算法 中文翻譯 工程設計 工程優(yōu)化 遺傳算

    Genetic Algorithms and Engineering Optimization.pdf

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    Genetic Algorithms and Engineering Design.pdf

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