This book explores the powerful Bald Eagle Search (BES) algorithm-a nature-inspired optimization technique modeled on the hunting behaviour of bald eagles-and its growing role in solving complex engineering and energy problems. The monograph explains BES theory, mathematical foundations, exploration-exploitation mechanisms and its three core phases, while tracing advances such as chaotic, opposition-based, Lévy-flight, adaptive, binary, multi-objective, hybrid, quantum-inspired and memetic variants. Its multidisciplinary applications span renewable energy, power systems, machine learning, smart grids, engineering, healthcare, communications and cybersecurity. At its centre is a compelling Antarctic case study: optimizing solar PV, wind and battery storage for McMurdo Station under extreme and isolated conditions. Comparisons with PSO, GA and ACO highlight BES's potential for reducing costs and emissions while improving reliability and renewable penetration. An essential resource for researchers, engineers and postgraduate students in intelligent optimization and sustainable energy.
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9786630425802
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9786630425802
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. Nº de ref. del artículo: 9786630425802
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the powerful Bald Eagle Search (BES) algorithm-a nature-inspired optimization technique modeled on the hunting behaviour of bald eagles-and its growing role in solving complex engineering and energy problems. The monograph explains BES theory, mathematical foundations, exploration-exploitation mechanisms and its three core phases, while tracing advances such as chaotic, opposition-based, Lévy-flight, adaptive, binary, multi-objective, hybrid, quantum-inspired and memetic variants. Its multidisciplinary applications span renewable energy, power systems, machine learning, smart grids, engineering, healthcare, communications and cybersecurity. At its centre is a compelling Antarctic case study: optimizing solar PV, wind and battery storage for McMurdo Station under extreme and isolated conditions. Comparisons with PSO, GA and ACO highlight BES's potential for reducing costs and emissions while improving reliability and renewable penetration. An essential resource for researchers, engineers and postgraduate students in intelligent optimization and sustainable energy. 68 pp. Englisch. Nº de ref. del artículo: 9786630425802
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Bald Eagle Search Algorithm | Optimization of McMurdo Antarctica Station and a literature Review, its Variants and Applications | Muhammad Fahad Shinwari | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630425802 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136877579
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the powerful Bald Eagle Search (BES) algorithm-a nature-inspired optimization technique modeled on the hunting behaviour of bald eagles-and its growing role in solving complex engineering and energy problems. The monograph explains BES theory, mathematical foundations, exploration-exploitation mechanisms and its three core phases, while tracing advances such as chaotic, opposition-based, Lévy-flight, adaptive, binary, multi-objective, hybrid, quantum-inspired and memetic variants. Its multidisciplinary applications span renewable energy, power systems, machine learning, smart grids, engineering, healthcare, communications and cybersecurity. At its centre is a compelling Antarctic case study: optimizing solar PV, wind and battery storage for McMurdo Station under extreme and isolated conditions. Comparisons with PSO, GA and ACO highlight BES's potential for reducing costs and emissions while improving reliability and renewable penetration. An essential resource for researchers, engineers and postgraduate students in intelligent optimization and sustainable energy. Nº de ref. del artículo: 9786630425802
Cantidad disponible: 2 disponibles