Handbook of Whale Optimization Algorithm 1st Edition

Handbook of Whale Optimization Algorithm, 1st Edition by Seyedali Mirjalili is an essential resource for researchers, engineers, and data scientists seeking a clear, authoritative guide to one of the most promising metaheuristics in modern optimization. This comprehensive volume opens with an engaging overview of the Whale Optimization Algorithm (WOA), placing the method in the wider context of swarm intelligence and evolutionary computation.

Inside, readers will find lucid explanations of the algorithm’s mathematical foundations, step-by-step pseudocode, parameter tuning strategies, and systematically presented variants and hybridizations. Practical chapters explore real-world applications—feature selection, scheduling, routing, engineering design, machine learning model optimization, and image processing—illustrating how WOA delivers robust solutions across disciplines. Comparative analyses and benchmarking discussions help practitioners evaluate performance against other state-of-the-art algorithms.

Written with both clarity and depth, this handbook balances theoretical rigor and hands-on guidance, making it ideal for graduate students, academic researchers, and industry professionals. Whether you work in academia or applied fields across North America, Europe, Asia, or beyond, this edition equips you with the tools to implement, adapt, and advance WOA-based solutions.

Add Handbook of Whale Optimization Algorithm, 1st Edition by Seyedali Mirjalili to your professional library today to master the theory and practice of this powerful optimization technique.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.