Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks.
Future networks are expected to be autonomous, scalable and adaptive. During millions of years of evolution, nature has developed a number of different systems that present these and other characteristics required for the next generation networks. Indeed, a series of bio-inspired methods have been successfully used to solve the most diverse problems linked to computer networks. This book presents some of these techniques from a theoretical and practical point of view.
- Discusses the key concepts of bio-inspired networking to aid you in finding efficient networking solutions
- Delivers examples of techniques both in theoretical concepts and practical applications
- Helps you apply nature's dynamic resource and task management to your computer networks
1. Evolution and Evolutionary Algorithms
2. Chemical Computing
3. Nervous Systems
4. Swarm Intelligence