大葉大學圖書館 |

Configurable intelligent optimization algorithm[electronic resource] :design and practice in manufacturing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.6
書名/作者:	Configurable intelligent optimization algorithm : design and practice in manufacturing // by Fei Tao, Lin Zhang, Yuanjun Laili.
作者:	Tao, Fei.
其他作者:	Zhang, Lin.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xiii, 361 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization.
標題:	Computer Science.
標題:	Computer-Aided Engineering (CAD, CAE) and Design.
標題:	Operating Procedures, Materials Treatment.
標題:	Computational Science and Engineering.
ISBN:	9783319088402 (electronic bk.)
ISBN:	9783319088396 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-08840-2

Configurable intelligent optimization algorithm[electronic resource] :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:

176332
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Configurable intelligent optimization algorithm[electronic resource] :design and practice in manufacturing /
LDR:03106nam a2200325 a 4500 001 424478
003 DE-He213
005 20150521133251.0
006 m d
007 cr nn 008maaau
008 151119s2015 gw s 0 eng d
020 $a 9783319088402 (electronic bk.)
020 $a 9783319088396 (paper)
024 7 $a 10.1007/978-3-319-08840-2 $2 doi
035 $a 978-3-319-08840-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UGC $2 bicssc
072 7 $a COM007000 $2 bisacsh
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .T171 2015
100 1 $a Tao, Fei. $3 602317
245 1 0 $a Configurable intelligent optimization algorithm $h [electronic resource] : $b design and practice in manufacturing / $c by Fei Tao, Lin Zhang, Yuanjun Laili.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiii, 361 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in advanced manufacturing, $x 1860-5168
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.
650 0 $a Mathematical optimization. $3 176332
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Computer-Aided Engineering (CAD, CAE) and Design. $3 463898
650 2 4 $a Operating Procedures, Materials Treatment. $3 463772
650 2 4 $a Computational Science and Engineering. $3 463702
700 1 $a Zhang, Lin. $3 464472
700 1 $a Laili, Yuanjun. $3 602318
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer series in advanced manufacturing. $3 464689
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-08840-2
950 $a Engineering (Springer-11647)