LEADER 03658nam 22007095 450 001 9910299848103321 005 20200701133912.0 010 $a3-319-08356-2 024 7 $a10.1007/978-3-319-08356-8 035 $a(CKB)3710000000205407 035 $a(EBL)1783118 035 $a(OCoLC)894170140 035 $a(SSID)ssj0001295638 035 $a(PQKBManifestationID)11857630 035 $a(PQKBTitleCode)TC0001295638 035 $a(PQKBWorkID)11343889 035 $a(PQKB)10501658 035 $a(DE-He213)978-3-319-08356-8 035 $a(MiAaPQ)EBC1783118 035 $z(PPN)258861584 035 $a(PPN)179923811 035 $a(EXLCZ)993710000000205407 100 $a20140722d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn Introduction to Harmony Search Optimization Method /$fby Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (93 p.) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704 300 $aDescription based upon print version of record. 311 $a3-319-08355-4 320 $aIncludes bibliographical references and index at the end of each chapters. 327 $aIntroduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions. 330 $aThis brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3704 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMathematical optimization 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMathematical optimization. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aOptimization. 676 $a006.3 700 $aWang$b Xiaolei$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720901 702 $aGao$b Xiao-Zhi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZenger$b Kai$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299848103321 996 $aAn Introduction to Harmony Search Optimization Method$92515642 997 $aUNINA