000 03918nam a22005175i 4500
001 978-3-319-08840-2
003 DE-He213
005 20200420220220.0
007 cr nn 008mamaa
008 140818s2015 gw | s |||| 0|eng d
020 _a9783319088402
_9978-3-319-08840-2
024 7 _a10.1007/978-3-319-08840-2
_2doi
050 4 _aTA345-345.5
072 7 _aUGC
_2bicssc
072 7 _aCOM007000
_2bisacsh
082 0 4 _a620.00420285
_223
100 1 _aTao, Fei.
_eauthor.
245 1 0 _aConfigurable Intelligent Optimization Algorithm
_h[electronic resource] :
_bDesign and Practice in Manufacturing /
_cby Fei Tao, Lin Zhang, Yuanjun Laili.
264 1 _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
347 _atext file
_bPDF
_2rda
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.
650 0 _aComputer-aided engineering.
650 0 _aComputer mathematics.
650 0 _aIndustrial engineering.
650 1 4 _aComputer Science.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
650 2 4 _aOperating Procedures, Materials Treatment.
650 2 4 _aComputational Science and Engineering.
700 1 _aZhang, Lin.
_eauthor.
700 1 _aLaili, Yuanjun.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319088396
830 0 _aSpringer Series in Advanced Manufacturing,
_x1860-5168
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-08840-2
912 _aZDB-2-ENG
942 _cEBK
999 _c51828
_d51828