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Book Description
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 comprehensive 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. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.
Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies,Albert Y. Zomaya,Springer,0387405321,Computer Books: General,Computer Science,Computers,Computers - General Information,General,Life Sciences - Biology - General,Programming - Systems Analysis & Design,Artificial intelligence,Biocomputing,Bioinformatics,Cluster computing,Computational modeling,Computers / Artificial Intelligence,DNA-based computing,Distributed algorithms,Fuzzy logic,Grid resource performance,MEMS,Nanotechnology,Neural models,Neural networks,Pervasive computing,Quantum computing,Swarm intelligence,VLSI optical interconnects
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