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Soft computing
{{Distinguish|soft microprocessor}}
{{Expert-subject|computer science|date=July 2009}}

In [[computer science]], '''soft computing''' is the use of inexact solutions to computationally hard tasks such as the solution of [[NP-complete]] problems, for which there is no known algorithm that can compute an exact solution in [[polynomial time]]. Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, parti(contracted; show full)

==Applications==

===Bioinformatics and Biomedicine===

SC has attracted close attention of researchers and has also been applied successfully to solve problems in bioinformatics 
and biomedicine . Nevertheless, the amount of information from biological experiments and the applications involving large-scale high-throughput technologies is rapidly increasing nowadays. Therefore, the ability of being scalable across large-scale problems becomes an essential requirement for modern SC approaches.<ref>{{cite journal|last1=Yudong|first1=Zhang|last2=Saeed|first2=Balochian|last3=Vishal|first3=Bhatnagar|title=Emerging Trends in Soft Computing Models in Bioinformatics and Biomedicine|journal=The Scientific World Journal|date=2014|volume=2014|pages=3|doi=10.1155/2014/683029|url=http://www.hindawi.com/journals/tswj/si/209027/}}</ref>

==References==
{{reflist}}

==External links==
* [http://www.softcomputing.es EUROPEAN CENTRE FOR SOFT COMPUTING]
* [http://www.helsinki.fi/~niskanen/bisc.html BISC SIG IN PHILOSOPHY OF SOFT COMPUTING]

{{Authority control}}
[[Category:Scientific modeling]]
[[Category:Artificial intelligence]]
[[Category:Semantic Web]]
[[Category:Soft computing]]