LEADER 04796nam 2200673Ia 450 001 9911019824403321 005 20200520144314.0 010 $a9786612382116 010 $a9781282382114 010 $a128238211X 010 $a9780470823941 010 $a0470823941 010 $a9780470823934 010 $a0470823933 024 7 $a10.1002/9780470823941 035 $a(CKB)1000000000799455 035 $a(EBL)479906 035 $a(SSID)ssj0000358879 035 $a(PQKBManifestationID)11265277 035 $a(PQKBTitleCode)TC0000358879 035 $a(PQKBWorkID)10381031 035 $a(PQKB)10524885 035 $a(MiAaPQ)EBC479906 035 $a(CaBNVSL)mat05361052 035 $a(IDAMS)0b00006481178888 035 $a(IEEE)5361052 035 $a(OCoLC)441888662 035 $a(PPN)267301596 035 $a(Perlego)2757828 035 $a(EXLCZ)991000000000799455 100 $a20090423d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDifferential evolution $efundamentals and applications in electrical engineering /$fAnyong Qing 210 $aOxford $cWiley-Blackwell$dc2009 215 $a1 online resource (462 p.) 300 $aDescription based upon print version of record. 311 08$a9780470823927 311 08$a0470823925 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 606 $aEvolution equations 606 $aMathematics 615 0$aEvolution equations. 615 0$aMathematics. 676 $a621.301/5196 676 $a621.3015196 700 $aQing$b Anyong$01666562 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019824403321 996 $aDifferential evolution$94025882 997 $aUNINA