Metaheuristic Optimization in Power Engineering : Algorithms and Power Dispatch Using MATLAB®-Based Software, Volume 1

• Autore: Radosavljević Jordan
• Pubblicazione: Stevenage : , : Institution of Engineering & Technology, , 2024; ©2024
• Edizione: 2nd ed.
• Descrizione fisica: 1 online resource (317 pages)
• Disciplina: 621.042015196
• Soggetto topico: Metaheuristics; Electric power production
• Nota di contenuto: Cover -- Title -- Copyright -- Contents -- Excerpt from the preface to the 1st edition (2018) -- Preface to the 2nd edition (2024) -- About the author -- 1 Overview of metaheuristic optimization -- 1.1 Introduction -- 1.2 Definition of metaheuristics -- 1.3 Classification of metaheuristics and bibliometric analysis -- 1.4 Principle of population-based metaheuristics -- 1.5 Evolutionary optimization algorithms -- 1.5.1 Genetic algorithm -- 1.5.2 Differential evolution -- 1.5.3 Evolutionary programming -- 1.5.4 Backtracking search algorithm -- 1.6 Bio-inspired swarm intelligence algorithms -- 1.6.1 Particle swarm optimization -- 1.6.2 Ant colony optimization -- 1.6.3 Artificial bee colony algorithm -- 1.6.4 Cuckoo search algorithm -- 1.6.5 Firefly algorithm -- 1.6.6 Gray wolf optimizer -- 1.6.7 Krill herd algorithm -- 1.6.8 Bacterial colony foraging optimization -- 1.6.9 Glowworm swarm optimization -- 1.6.10 Differential search algorithm -- 1.6.11 Marine predators algorithm -- 1.6.12 Tunicate swarm algorithm
• Sommario/riassunto: A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.
• Titolo autorizzato: Metaheuristic Optimization in Power Engineering
• ISBN: 1-83724-378-6; 1-5231-6292-9; 1-83724-138-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911006707803321
• Lo trovi qui: Univ. Federico II
• Serie: Energy Engineering Series