LEADER 01017nam 2200373 450 001 9910149016503321 005 20230808200211.0 010 $a1-5040-3905-X 035 $a(CKB)3710000000921145 035 $a(MiAaPQ)EBC4729036 035 $a(EXLCZ)993710000000921145 100 $a20161031d2016 uy| 1 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aTestimony of two men $ea novel /$fTaylor Caldwell 210 1$aNew York :$cOpen Road Integrated Media,$d2016. 215 $a1 online resource (525 pages) 606 $aPhysicians$vFiction 606 $aFamily secrets$vFiction 606 $aBereavement$vFiction 615 0$aPhysicians 615 0$aFamily secrets 615 0$aBereavement 700 $aCaldwell$b Taylor$0456976 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910149016503321 996 $aTestimony of two men$93411769 997 $aUNINA LEADER 04367nam 22006375 450 001 9910986136103321 005 20250307115229.0 010 $a9783031810138 010 $a3031810139 024 7 $a10.1007/978-3-031-81013-8 035 $a(MiAaPQ)EBC31947415 035 $a(Au-PeEL)EBL31947415 035 $a(CKB)37788184300041 035 $a(OCoLC)1507695414 035 $a(DE-He213)978-3-031-81013-8 035 $a(EXLCZ)9937788184300041 100 $a20250307d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization Strategies: A Decade of Metaheuristic Algorithm Development /$fby Erik Cuevas, Angel Chavarin-Fajardo, Cesar Ascencio-Piņa, Sonia Garcia-De-Lira 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (804 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v266 311 08$a9783031810121 311 08$a3031810120 327 $a1.Introductory concepts of metaheuristic techniques -- 2.An algorithm for global optimization inspired by collective animal behavior -- 3.A swarm optimization algorithm inspired in the behavior of the social-spider -- 4.An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation -- 5.Harnessing Locust Swarm Dynamics for Optimization Algorithms -- 6.Improving Function Evaluation Efficiency with an Enhanced Evolutionary Algorithm -- 7.A Fuzzy Logic-Inspired Metaheuristic Method for Enhanced Optimization -- 8.Modeling Optimization Techniques Inspired by Yellow Saddle Goatfish Behavior -- 9.An optimization algorithm guided by a machine learning approach -- 10.An improved Simulated Annealing algorithm based on ancient metallurgy techniques -- 11.Agent-based modeling approaches as metaheuristic methods -- 12.Evolutionary-Mean shift algorithm for dynamic multimodal function optimization. 330 $aThis book is to explore the development of metaheuristic algorithms over the past decade, focusing on key advancements in their components and structural features, which have driven progress in search techniques. This analysis aims to provide readers with a thorough understanding of the fundamental aspects of these methods, which are essential for their practical application. To offer a broad perspective on the evolution of metaheuristic algorithms, this book reviews 11 specific algorithms developed by the evolutionary computation group at the University of Guadalajara over the past 10 years. These algorithms illustrate the most significant mechanisms and structures discussed in the academic and research communities during their development. By studying these examples, readers will gain valuable insights into the innovative methods and strategic improvements that have shaped the field. The book is designed from a teaching standpoint, making it suitable for undergraduate and postgraduate students in science, electrical engineering, or computational mathematics. Moreover, engineering practitioners unfamiliar with metaheuristic computation will appreciate how these techniques have been adapted to address complex real-world engineering problems, moving beyond theoretical constructs. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v266 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aEngineering$xData processing 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Engineering 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aEngineering$xData processing. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Engineering. 676 $a006.3 700 $aCuevas$b Erik$0761169 701 $aChavarin-Fajardo$b Angel$01790725 701 $aAscencio-Piņa$b Cesar$01790726 701 $aGarcia-De-Lira$b Sonia$01790727 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910986136103321 996 $aOptimization Strategies: A Decade of Metaheuristic Algorithm Development$94349903 997 $aUNINA