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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]]