Swarm Intelligence and Evolutionary Computation 1st Edition

Swarm Intelligence and Evolutionary Computation, 1st Edition by Georgios N. Kouziokas is a concise, authoritative guide that brings the cutting edge of metaheuristic optimization to students, researchers and practitioners worldwide. If you’re exploring bio-inspired algorithms, nature-inspired computing or advanced optimization techniques, this book delivers clear concepts and practical insight in a single, accessible volume.

Begin with an engaging exploration of swarm intelligence principles — from particle swarm and ant colony optimization to recent hybrid evolutionary strategies — presented with clarity and real-world context. The author bridges theory and application, explaining algorithmic mechanisms, convergence behavior, parameter tuning and performance evaluation without unnecessary jargon. Case examples demonstrate how these methods solve complex engineering, logistics, and data science problems across industries.

Designed for both classroom use and professional reference, this edition suits graduate students, academic researchers, software engineers and optimization specialists. You’ll appreciate the balanced coverage of mathematical foundations, pseudocode for implementation, and comparative analysis that helps you choose the right approach for global challenges in telecommunications, robotics, supply chain and machine learning.

Practical, up-to-date and easy to navigate, this 1st Edition empowers you to apply swarm intelligence and evolutionary computation to real problems. Add it to your collection if you want a reliable, research-backed resource that supports innovation across Europe, North America, Asia and beyond. Order your copy today and advance your mastery of nature-inspired optimization.

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