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Record Nr. |
UNINA9910616369203321 |
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Autore |
Rao Yunqing |
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Titolo |
Intelligent Algorithms for Packing and Cutting Problem / / by Yunqing Rao, Qiang Luo |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (338 pages) |
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Collana |
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Engineering Applications of Computational Methods, , 2662-3374 ; ; 10 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Manufactures |
Computational Intelligence |
Machines, Tools, Processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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. . |
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