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Bald Eagle Search Algorithm: Optimization of McMurdo Antarctica Station and a literature Review, its Variants and Applications - Brossura
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Bald Eagle Search Optimization for McMurdo Station 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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Informazioni sull'autore
Dr. Muhammad Fahad Shinwari is an academic, researcher, and author specializing in artificial intelligence, energy systems, optimization, and emerging technologies. With 18+ years' experience and a PhD from UMPSA, Malaysia, he bridges research, academia, innovation, and multidisciplinary field research with expertise.
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Bald Eagle Search Algorithm | Optimization of McMurdo Antarctica Station and a literature Review, its Variants and Applications
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LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630354702
ISBN 13: 9786630354706
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Taschenbuch. Condizione: Neu. Bald Eagle Search Algorithm | Optimization of McMurdo Antarctica Station and a literature Review, its Variants and Applications | Muhammad Fahad Shinwari (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630354706 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136877609
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LAP LAMBERT Academic Publishing Aug 2026, 2026
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bald Eagle Search Optimization for McMurdo Station 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. 96 pp. Englisch. Codice articolo 9786630354706
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Bald Eagle Search Algorithm : Optimization of McMurdo Antarctica Station and a literature Review, its Variants and Applications
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630354702
ISBN 13: 9786630354706
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bald Eagle Search Optimization for McMurdo Station 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. Codice articolo 9786630354706
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