Bald Eagle Search Algorithm for McMurdo Station: A Literature Review, its Variants and Applications

Bald Eagle Search Algorithm for Optimization of McMurdo Antarctica Station and Literature Review, Its Variants and Applications presents a concise exploration of the Bald Eagle Search (BES) algorithm, from its mathematical foundations and search mechanisms to its evolving variants and multidisciplinary applications. The monograph examines improved, adaptive, chaotic, hybrid, multi-objective, and other BES approaches, alongside applications in renewable energy, power systems, machine learning, engineering, healthcare, and intelligent systems. A central focus is the application of BES to renewable-energy optimization at McMurdo Antarctic Research Station, with comparisons against established metaheuristic algorithms. Combining theoretical foundations, literature review, comparative analysis, and practical application, this book provides a useful resource for researchers, engineers, academics, and postgraduate students interested in intelligent optimization and sustainable energy systems.