Metaheuristic and evolutionary computation : algorithms and applications / / editors, Hasmat Malik [et al.]

• Pubblicazione: Singapore : , : Springer, , [2021]; ©2021
• Edizione: 1st edition 2021.
• Descrizione fisica: 1 online resource (XXIX, 820 p. 485 illus., 368 illus. in color.)
• Disciplina: 519.6
• Soggetto topico: Mathematical optimization; Evolutionary computation; Metaheuristics
• Persona (resp. second.): MalikHasmat
• Note generali: Includes index.
• Nota di contenuto: 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).
• Sommario/riassunto: 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.
• Titolo autorizzato: Metaheuristic and evolutionary computation
• ISBN: 981-15-7571-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483375203321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence, . 1860-949X ; ; 916