Handbook of Nature-Inspired and Innovative Computing
Integrating Classical Models with Emerging Technologies
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Beschreibung
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. This handbook explores the connection between nature-inspired and traditional computational paradigms. It presents computing paradigms and models based on natural phenomena. The handbook is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms.
First of its kind to address the connection between nature-inspired and traditional computing paradigms Brings together a number of diverse chapters that normally do not appear in the same volume since they deal with different facets of computing Contributors are leaders in their respective disciplines, and each was specifically instructed to cover review material as well as current developments Includes supplementary material: sn.pub/extras
Autor*in
Albert Y. Zomaya
Themen in »Handbook of Nature-Inspired and Innovative Computing«
algorithm artificial neural network bioinformatics complex system evolution fuzzy intelligence logic microelectromechanical system (MEMS) modeling neural network programming simulation swarm intelligence algorithm analysis and problem complexity
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From the reviews:
“Handbook contains 22 chapters, written in a ‘workshop style’ … . I found this volume to be a fascinating, and ‘gentle,’ introduction to a wide range of nonstandard research areas of computer science. … this book used as the basis for a seminar on approaches to decentralized computation. … I consider it a collection of tutorials … . I think this book would be of use to anyone with some CS sophistication who desires exposure to a wide range of newer or less-publicized research areas.” (Aaron Sterling, The Book Review Column, 2011)()