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001432168 0247_ $$a10.1007/978-981-15-7571-6$$2doi
001432168 035__ $$aSP(OCoLC)1202464734
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001432168 049__ $$aISEA
001432168 050_4 $$aQA76.9.A43
001432168 08204 $$a005.13$$223
001432168 24500 $$aMetaheuristic and evolutionary computation :$$balgorithms and applications /$$cHasmat Malik, Atif Iqbal, Puneet Joshi, Sanjay Agrawal, Farhad Ilahi Bakhsh, editors.
001432168 260__ $$aSingapore :$$bSpringer,$$c2021.
001432168 300__ $$a1 online resource (830 pages)
001432168 336__ $$atext$$btxt$$2rdacontent
001432168 337__ $$acomputer$$bc$$2rdamedia
001432168 338__ $$aonline resource$$bcr$$2rdacarrier
001432168 347__ $$atext file
001432168 347__ $$bPDF
001432168 4901_ $$aStudies in Computational Intelligence ;$$vv. 916
001432168 500__ $$aIncludes index.
001432168 504__ $$aIncludes bibliographical references and index.
001432168 5050_ $$aChapter 1. Introduction: Optimization and Metaheuristics Algorithms -- Chapter 2. Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms -- Chapter 3. Tackling Power Quality Issues using Metaheuristics -- Chapter 4. Meta-Heuristic application in Suppression of Noise -- Chapter 5. A review on Genetic Algorithm and its application in Power system Engineering -- Chapter 6. Different Variants of Particle Swarm Optimization Algorithms and its Application: A Review -- Chapter 7. Application of Metaheuristics in Power Electronics -- Chapter 8. Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications -- Chapter 9. Energy Management System for Hybrid Energy System: Renewable Integration, modeling & optimization, control aspects and conceptual framework -- Chapter 10. Recent Advances and Application of Metaheuristic Algorithms: A survey (2014-2020).
001432168 506__ $$aAccess limited to authorized users.
001432168 520__ $$aThis book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book's second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference. Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.
001432168 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 18, 2020).
001432168 650_0 $$aMetaheuristics.
001432168 650_0 $$aEvolutionary computation.
001432168 650_0 $$aMathematical optimization.
001432168 650_6 $$aMétaheuristiques.
001432168 650_6 $$aRéseaux neuronaux à structure évolutive.
001432168 650_6 $$aOptimisation mathématique.
001432168 655_0 $$aElectronic books.
001432168 7001_ $$aMalik, Hasmat.
001432168 7001_ $$aIqbal, Atif.
001432168 7001_ $$aJoshi, Puneet.
001432168 7001_ $$aAgrawal, Sanjay.
001432168 7001_ $$aBakhsh, Farhad Ilahi.
001432168 77608 $$iPrint version:$$aMalik, Hasmat.$$tMetaheuristic and Evolutionary Computation: Algorithms and Applications.$$dSingapore : Springer Singapore Pte. Limited, ©2020$$z9789811575709
001432168 830_0 $$aStudies in computational intelligence ;$$vv. 916.
001432168 852__ $$bebk
001432168 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-7571-6$$zOnline Access$$91397441.1
001432168 909CO $$ooai:library.usi.edu:1432168$$pGLOBAL_SET
001432168 980__ $$aBIB
001432168 980__ $$aEBOOK
001432168 982__ $$aEbook
001432168 983__ $$aOnline
001432168 994__ $$a92$$bISE