Academic Press Handbook of Whale Optimization Algorithm

Explore the depths of meta-heuristic computing with the Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications. Published by Academic Press, this comprehensive resource offers an in-depth look at an emerging algorithm that has gained massive traction in both science and industry. With over 5000 citations in Google Scholar, the Whale Optimization Algorithm is a proven method for tackling complex computational problems. This handbook is designed for researchers and professionals who need to navigate the specific challenges of modern optimization. It provides guidance on handling multiple objectives, managing constraints, and working with binary decision variables. Whether you are dealing with large-scale search spaces, dynamic objective functions, or noisy parameters, this text offers the technical insights required to master this widely used algorithm. It serves as a vital reference for anyone looking to implement advanced variants and hybrid models in their scientific or industrial workflows.