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.
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