LEADER 03183nam 22005535 450 001 9910484200003321 005 20250630101802.0 010 $a3-030-28917-6 024 7 $a10.1007/978-3-030-28917-1 035 $a(CKB)4100000009160329 035 $a(DE-He213)978-3-030-28917-1 035 $a(MiAaPQ)EBC5941144 035 $a(PPN)243769466 035 $a(EXLCZ)994100000009160329 100 $a20190903d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Metaheuristics Algorithms for Parameter Identification /$fby Erik Cuevas, Jorge Gálvez, Omar Avalos 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIV, 297 p.) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v854 311 08$a3-030-28916-8 327 $aIntroduction to optimization and metaheuristic methods -- Optimization techniques in parameters setting for Induction Motor -- An enhanced crow search algorithm applied to energy approaches -- Comparison of solar cells parameters estimation using several optimization algorithms -- Gravitational search algorithm for non-linear system identification using ANFIS-Hammerstein approach -- Fuzzy Logic Based Optimization Algorithm -- Neighborhood Based Optimization Algorithm -- Knowledge-Based Optimization Algorithm. 330 $aThis book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v854 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 676 $a005.1 700 $aCuevas$b Erik$4aut$4http://id.loc.gov/vocabulary/relators/aut$0761169 702 $aGálvez$b Jorge$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAvalos$b Omar$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484200003321 996 $aRecent Metaheuristics Algorithms for Parameter Identification$92844307 997 $aUNINA