Description
Book SynopsisNature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems.
The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. The inspiration of writing this book on Nature-inspired Computing in three volumes came from the book, Machine Learning - Neural Networks, Genetic Algorithms, and Fuzzy Systems, Hojjat Adeli and S.L. Hung (John Wiley and Sons, 1995) as the first treatise that presented the three main fields of computational intelligence in a single book. That led the authors first to write the book, Computational Intelligence Synergies of Fuzzy Logi
Table of Contents
Swarm Intelligence-Based Algorithms. Bio-Inspired Algorithms. Physics and Chemistry-Based Algorithms.
