Mathematical Foundations of Nature-Inspired Algorithms

Discover the fascinating world of nature-inspired algorithms with Mathematical Foundations of Nature-Inspired Algorithms by Xin-She Yang. Published by Springer Nature Switzerland AG in 2019, this engaging paperback spans 107 pages, providing a comprehensive overview of innovative algorithms that draw inspiration from natural phenomena.

This book delves into specific algorithms such as swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Each section is designed to equip readers with a solid mathematical foundation, making complex concepts accessible and applicable to real-world problems.

Whether you're a student, researcher, or practitioner in the field of computer science or artificial intelligence, this book serves as an essential resource for understanding the principles behind these powerful algorithms. Explore the synergy between nature and technology with Xin-She Yang's insightful work.