DocumentCode
163824
Title
A survey of diverse nature bio-inspired computing models
Author
Kotteeswaran, C. ; Rajesh, A.
Author_Institution
Bharath Univ., Chennai, India
fYear
2014
fDate
8-8 July 2014
Firstpage
120
Lastpage
124
Abstract
Natural computing, also called Natural computation, is a recent emerging field of research that introduces three classes of methods: 1) a division of techniques which can be used to solve novel problems by retrieving inspiration from the nature; 2) a division that concentrates on the use of computers to synthesize natural observable fact; and 3) a division that employ natural materials (e.g., molecules) to compute. The main scheme of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others. In this paper, we make an attempt to investigate the working nature, applications, variants and generative power of various bio-inspired computing models such as membrane computing, splicing circular words, Bidirectional sticker system.
Keywords
artificial immune systems; biocomputing; evolutionary computation; fractals; neural nets; quantum computing; swarm intelligence; DNA computing; artificial immune systems; artificial life; artificial neural networks; bidirectional sticker system; bioinspired computing models; evolutionary algorithms; fractal geometry; membrane computing; molecules; natural computation; natural computing; natural materials; quantum computing; splicing circular words; swarm intelligence; Automata; Biological system modeling; Biomembranes; Computational modeling; Conferences; Splicing; Bio-inspired Computing; Membrane Computing; Splicing Circular words; Watson crick two-way finite Automata;
fLanguage
English
Publisher
ieee
Conference_Titel
Current Trends in Engineering and Technology (ICCTET), 2014 2nd International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-7986-8
Type
conf
DOI
10.1109/ICCTET.2014.6966273
Filename
6966273
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