Bald Eagle Search Algorithm: Optimization of McMurdo Antarctica Station and a literature Review, its Variants and Applications - Couverture souple

Shinwari, Muhammad Fahad; Sujod, Muhamad Zahim Bin; Saad, Norhafidzah Binti Mohd

Couverture souple

ISBN 10 : 6630354702 ISBN 13 : 9786630354706

Editeur : LAP Lambert Academic Publishing, 2026

Synopsis

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.

Détails de l'édition

• Éditeur: LAP Lambert Academic Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 6630354702
• ISBN 13: 9786630354706
• Reliure: Tapa blanda
• Nombre de pages: 96
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible