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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319088402
_9978-3-319-08840-2
024 7 _a10.1007/978-3-319-08840-2
_2doi
035 _ato000557532
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aTA345-345.5
072 7 _aUGC
_2bicssc
072 7 _aCOM007000
_2bisacsh
082 0 4 _a620.00420285
_223
100 1 _aTao, Fei.
_eauthor.
_9462850
245 1 0 _aConfigurable Intelligent Optimization Algorithm
_helectronic resource
_bDesign and Practice in Manufacturing /
_cby Fei Tao, Lin Zhang, Yuanjun Laili.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIII, 361 p. 115 illus., 105 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
505 0 _aFrom 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 _aPresenting 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 _aComputer Science.
_9155490
650 0 _aComputer-aided engineering.
_9460803
650 0 _aComputer mathematics.
_9460896
650 0 _aIndustrial engineering.
_9303056
650 1 4 _aComputer Science.
_9155490
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
_9303153
650 2 4 _aOperating Procedures, Materials Treatment.
_9294372
650 2 4 _aComputational Science and Engineering.
_9304944
700 1 _aZhang, Lin.
_eauthor.
_9462851
700 1 _aLaili, Yuanjun.
_eauthor.
_9462852
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aSpringer Series in Advanced Manufacturing,
_9566449
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-08840-2
912 _aZDB-2-ENG
999 _c412360