9783319088396 - configurable intelligent optimization algorithm: design and practice in manufacturing (springer series in advanced manufacturing) von tao, fei; zhang, lin; laili, yuanjun (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2014
Serie: Springer Series in Advanced Manufacturing, Buch 41 von 74. Buch 41 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
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Configurable Intelligent Optimization Algorithm: Design and Practice in Manufacturing
Tao, Fei (Author)/ Zhang, Lin (Author)/ Laili, Yuanjun (Author)
Sprache: Englisch
Verlag: Springer 2014
Serie: Springer Series in Advanced Manufacturing, Buch 41 von 74. Buch 41 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 2015 edition. 361 pages. 9.25x6.50x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing 2014
Serie: Springer Series in Advanced Manufacturing, Buch 41 von 74. Buch 41 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of…basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing.This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.
Sprache: Englisch
Verlag: Palgrave Macmillan 2014
Serie: Springer Series in Advanced Manufacturing, Buch 41 von 74. Buch 41 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehe…nsive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing.This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.
