03329nam 2200517 450 991048337520332120221011172116.0981-15-7571-110.1007/978-981-15-7571-6(CKB)4100000011493448(MiAaPQ)EBC6370229(DE-He213)978-981-15-7571-6(PPN)258059044(EXLCZ)99410000001149344820210304d2021 fy 0engurnn#---mamaatxtrdacontentcrdamediacrrdacarrierMetaheuristic and evolutionary computation algorithms and applications /editors, Hasmat Malik [et al.]1st edition 2021.Singapore :Springer,[2021]©20211 online resource (XXIX, 820 p. 485 illus., 368 illus. in color.)Studies in Computational Intelligence,1860-949X ;916Includes index.981-15-7570-3 Chapter 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).This 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.Studies in Computational Intelligence,1860-949X ;916Mathematical optimizationEvolutionary computationMetaheuristicsMathematical optimization.Evolutionary computation.Metaheuristics.519.6Malik HasmatMiAaPQMiAaPQMiAaPQBOOK9910483375203321Metaheuristic and evolutionary computation2847600UNINA