As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. A comprehensive handbook reference for computing paradigms and models based on natural phenomena. Essential compilation of models, methods, and algorithms for researchers, professionals, and graduate students working in all areas of computer science, IT, biocomputing, and network engineering.