LEADER 04105nam 22006495 450 001 9910482987603321 005 20200701223902.0 010 $a3-030-11593-3 024 7 $a10.1007/978-3-030-11593-7 035 $a(CKB)4100000007463670 035 $a(DE-He213)978-3-030-11593-7 035 $a(MiAaPQ)EBC5924168 035 $a(PPN)243769091 035 $a(EXLCZ)994100000007463670 100 $a20190111d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMetaheuristics Algorithms in Power Systems /$fby Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XII, 221 p.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v822 311 $a3-030-11592-5 327 $aChapter 1. Introduction to metaheuristics methods -- Chapter 2. Metaheuristic schemes for parameter estimation in induction motors -- Chapter 3. Non-conventional overcurrent relays coordination -- Chapter 4. Overcurrent relay coordination, robustness and fast solutions etc. 330 $aThis book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v822 606 $aComputational intelligence 606 $aEnergy systems 606 $aPower electronics 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 606 $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aEnergy systems. 615 0$aPower electronics. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aEnergy Systems. 615 24$aPower Electronics, Electrical Machines and Networks. 615 24$aArtificial Intelligence. 676 $a621.31 676 $a621.31 700 $aCuevas$b Erik$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761169 702 $aBarocio Espejo$b Emilio$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aConde Enríquez$b Arturo$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910482987603321 996 $aMetaheuristics Algorithms in Power Systems$92848881 997 $aUNINA