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Configurable intelligent optimizatio...

Tao, Fei.

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Configurable intelligent optimization algorithm = design and practice in manufacturing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Configurable intelligent optimization algorithm/ by Fei Tao, Lin Zhang, Yuanjun Laili.
Reminder of title:	design and practice in manufacturing /
Author:	Tao, Fei.
other author:	Zhang, Lin.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiii, 361 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	From the Contents: Brief History and Overview of Intelligent Optimization Algorithms -- Recent Advances of intelligent optimization algorithms in manufacturing -- Dynamic Configuration Intelligent Optimization Algorithms -- Improvement and hybridization of Intelligent Optimization Algorithms DC-OIA.
Contained By:	Springer eBooks
Subject:	Mathematical optimization. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-08840-2
ISBN:	9783319088402 (electronic bk.)

Configurable intelligent optimization algorithm = design and practice in manufacturing /
Tao, Fei.

Configurable intelligent optimization algorithmdesign and practice in manufacturing /[electronic resource] :by Fei Tao, Lin Zhang, Yuanjun Laili. - Cham :Springer International Publishing :2015. - xiii, 361 p. :ill. (some col.), digital ;24 cm. - Springer series in advanced manufacturing,1860-5168. - Springer series in advanced manufacturing..

From the Contents: Brief History and Overview of Intelligent Optimization Algorithms -- Recent Advances of intelligent optimization algorithms in manufacturing -- Dynamic Configuration Intelligent Optimization Algorithms -- Improvement and hybridization of Intelligent Optimization Algorithms DC-OIA.

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.

ISBN: 9783319088402 (electronic bk.)

Standard No.: 10.1007/978-3-319-08840-2doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Configurable intelligent optimization algorithm = design and practice in manufacturing /
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505 0 $a From the Contents: Brief History and Overview of Intelligent Optimization Algorithms -- Recent Advances of intelligent optimization algorithms in manufacturing -- Dynamic Configuration Intelligent Optimization Algorithms -- Improvement and hybridization of Intelligent Optimization Algorithms DC-OIA.
520 $a 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.
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