- Helps readers to appreciate the simplicity and elegance of the simulated evolution and learning techniques
- Provides a good avenue for practitioners to deploy evolutionary computation techniques through various examples
- Enables a quick start in the area of evolutionary computation
- Presents topics or issues of current research interest
- Contains 43 chapters, with more than 30 different applications

- Detailed MOEA applications discussed by international experts
- State-of-the-art practical insights in tackling statistical optimization with MOEAs
- A unique monograph covering a wide spectrum of real-world applications
- Step-by-step discussion of MOEA applications in a variety of domains

Self-contained and unified in presentation, this invaluable book provides a broad introduction to the fascinating subject of many-body collective systems with adapting and evolving agents. The coverage includes game theoretic systems, multi-agent systems, and large-scale socio-economic systems of individual optimizing agents. The diversity and scope of such systems have been steadily growing in computer science, economics, social sciences, physics, and biology.