Handbook of Metaheuristic Algorithms 1st Edition

Capture the power of practical optimization with the Handbook of Metaheuristic Algorithms, 1st Edition by Chun-Wei Tsai and Ming-Chao Chiang. Whether you’re a researcher, engineer, or advanced student, this handbook immediately delivers clear, usable guidance on cutting-edge metaheuristic methods.

Inside, you’ll find concise explanations of essential techniques—genetic algorithms, particle swarm optimization, ant colony optimization, simulated annealing, tabu search, differential evolution and more—paired with real-world examples across industry and academia. The authors balance theory and practice, explaining algorithm design, parameter tuning, convergence behavior, and how to adapt methods for combinatorial and continuous optimization problems.

Designed for global applicability, the book addresses challenges faced by professionals in software engineering, manufacturing, logistics, telecommunications, bioinformatics and finance. Practical case studies and implementation tips make it easy to translate ideas into production-ready solutions for teams in the US, Europe, Asia and beyond.

If you want a single, reliable reference that speeds problem-solving and enhances your optimization toolkit, this handbook does the job. Clear visuals, structured comparisons, and an emphasis on applicability help you choose the right algorithm and avoid common pitfalls.

Add the Handbook of Metaheuristic Algorithms to your library and elevate your optimization projects—perfect for practitioners seeking fast results and academics building robust research. Order your copy today and start solving complex optimization problems with confidence.

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