000 07249nam a2201465 i 4500
001 5361052
003 IEEE
005 20220712205735.0
006 m o d
007 cr |n|||||||||
008 151221s2009 njua ob 001 eng d
020 _a9780470823941
_qelectronic
020 _z9780470823927
_qprint
020 _z0470823941
_qelectronic
020 _z9780470823934
_qebook
020 _z0470823933
_qebook
024 7 _a10.1002/9780470823941
_2doi
035 _a(CaBNVSL)mat05361052
035 _a(IDAMS)0b00006481178888
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA377.3
_b.Q22 2009eb
082 0 4 _a621.301/5196
_222
100 1 _aQing, Anyong,
_eauthor.
_927408
245 1 0 _aDifferential evolution :
_bfundamentals and applications in electrical engineering /
_cAnyong Qing.
264 1 _aSingapore ;
_bJ. Wiley & Sons Asia,
_cc2009.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2009]
300 _a1 online resource (xli, 418 pages) :
_bill.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aAn introduction to optimization -- Fundamentals of differential evolution -- Advances in differential evolution -- Configuring a parametric study on differential evolution -- Benchmarking a single-objective optimization test bed for parametric study on differential evolution -- Differential evolution strategies -- Optimal intrinsic control parameters -- Non-intrinsic control parameters -- An introductory survey on differential evolution in electrical and electronic engineering -- Flexible QoS multicast routing in next-generation Internet -- Multisite mapping onto grid environments -- Synthesis of time-modulated antenna arrays -- Automated analog electronic circuits sizing -- Strategic bidding in a competitive electricity market -- 3D tracking of license plates in video sequences -- Color quantization.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aDifferential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. In Differential Evolution, Dr. Qing begins with an overview of optimization, followed by a state-of-the-art review of differential evolution, including its fundamentals and up-to-date advances. He goes on to explore the relationship between differential evolution strategies, intrinsic control parameters, non-intrinsic control parameters, and problem features through a parametric study. Findings and recommendations on the selection of strategies and intrinsic control parameter values are presented. Lastly, after an introductory review of reported applications in electrical and electronic engineering fields, different research groups demonstrate how the methods can be applied to such areas as: multicast routing, multisite mapping in grid environments, antenna arrays, analog electric circuit sizing, electricity markets, stochastic tracking in video sequences, and color quantization. . Contains a systematic and comprehensive overview of differential evolution. Reviews the latest differential evolution research. Describes a comprehensive parametric study conducted over a large test bed . Shows how methods can be practically applied to . mobile communications. grid computing. circuits. image processing. power engineering . Sample applications demonstrated by research groups in the United Kingdom, Australia, Italy, Turkey, China, and Eastern Europe. Provides access to companion website with code examples for download Differential Evolution is ideal for application engineers, who can use the methods described to solve specific engineering problems. It is also a valuable reference for post-graduates and researchers working in evolutionary computation, design optimization and artificial intelligence. Researchers in the optimization field or engineers and managers involved in operations research will also find the book a helpful introduction to the topic.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aEvolution equations.
_927409
655 0 _aElectronic books.
_93294
695 _aAcceleration
695 _aAccuracy
695 _aAcoustics
695 _aAerospace electronics
695 _aAntenna radiation patterns
695 _aAsia
695 _aAttenuation
695 _aBandwidth
695 _aBenchmark testing
695 _aBiological system modeling
695 _aCameras
695 _aClustering algorithms
695 _aCommunication systems
695 _aCommunities
695 _aCompanies
695 _aContracts
695 _aConvergence
695 _aData models
695 _aDelay
695 _aDynamics
695 _aEconomics
695 _aElectrical engineering
695 _aElectricity
695 _aElectricity supply industry
695 _aElectronic circuits
695 _aError analysis
695 _aEuclidean distance
695 _aEvolution (biology)
695 _aEvolutionary computation
695 _aFrequency modulation
695 _aGenerators
695 _aGenetic algorithms
695 _aHybrid power systems
695 _aImage color analysis
695 _aImage quality
695 _aIndexes
695 _aInductors
695 _aIntegrated circuit modeling
695 _aInternet
695 _aInvestments
695 _aJacobian matrices
695 _aJitter
695 _aLicenses
695 _aLinear antenna arrays
695 _aMaterials
695 _aMemory management
695 _aMicrowave antenna arrays
695 _aMiddleware
695 _aMinimization
695 _aNext generation networking
695 _aOFDM
695 _aOptimization
695 _aOptimization methods
695 _aParametric study
695 _aParity check codes
695 _aPerformance evaluation
695 _aPixel
695 _aPlanar arrays
695 _aPredictive models
695 _aProcess control
695 _aProcessor scheduling
695 _aProgramming
695 _aProposals
695 _aQuality of service
695 _aQuantization
695 _aRain
695 _aReal time systems
695 _aResource management
695 _aRobot kinematics
695 _aRobustness
695 _aRouting
695 _aSPICE
695 _aSearch problems
695 _aSimulation
695 _aSolid modeling
695 _aSwitches
695 _aThree dimensional displays
695 _aThroughput
695 _aTracking
695 _aVehicles
710 2 _aJohn Wiley & Sons,
_epublisher.
_96902
710 2 _aIEEE Xplore (Online service),
_edistributor.
_927410
776 0 8 _iPrint version:
_z9780470823927
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5361052
942 _cEBK
999 _c74055
_d74055