Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

Discover the fascinating world of nature-inspired algorithms with Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications by Modestus O. Okwu. Published by Springer Nature Switzerland AG in 2021, this comprehensive paperback edition spans 192 pages and delves into a variety of innovative optimization techniques.

This insightful book covers major algorithms such as the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, and butterfly optimization algorithm, among others. Each algorithm is explored in detail, providing readers with a solid understanding of their applications and theoretical foundations.

Whether you are a student, researcher, or professional in the field of computational intelligence, this book is an essential resource for enhancing your knowledge and skills in optimization techniques inspired by nature.