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Intelligent Algorithms for Packing and Cutting Problem / by Yunqing Rao, Qiang Luo
(Engineering Applications of Computational Methods. ISSN:26623374 ; 10)
版 | 1st ed. 2022. |
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出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
出版年 | 2022 |
本文言語 | 英語 |
大きさ | X, 330 p. 156 illus., 80 illus. in color : online resource |
著者標目 | *Rao, Yunqing author Luo, Qiang author SpringerLink (Online service) |
件 名 | LCSH:Computational intelligence LCSH:Manufactures FREE:Computational Intelligence FREE:Machines, Tools, Processes |
一般注記 | Introduction to the packing and cutting problem -- Intelligent algorithms for rectangular packing problem -- Intelligent algorithms for irregular packing problem -- Novel algorithms for packing problem -- Solutions for new variants of packing problem This book investigates in detail the two-dimensional packing and cutting problems in the field of operations research and management science. It introduces the mathematical models and intelligent solving algorithms for these problems, as well as their engineering applications. Most intelligent methods reported in this book have already been applied in reality, which can provide reference for the engineers. The presented novel methods for the two-dimensional packing problem provide a new way to solve the problem for researchers interested in operations research or computer science. This book also introduces three new variants of packing problems and their solving methods, which offer a different research direction. The book is intended for undergraduate and graduate students who are interested in the solving methods for packing and cutting problems, researchers investigating the application of intelligent algorithms, scientists studying the theory of the operations research and CAM software developers working on integration of packing and cutting problem. HTTP:URL=https://doi.org/10.1007/978-981-19-5916-5 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789811959165 |
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EB00228953 |