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Knowledge management and optimization modeling (for decision making)

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Autor dc.contributor.author Crawford B.
Autor dc.contributor.author Castro C.
Autor dc.contributor.author Monfroy E.
Fecha Ingreso dc.date.accessioned 2014-04-05T00:14:17Z
Fecha Disponible dc.date.available 2014-04-05T00:14:17Z
Fecha en Repositorio dc.date.issued 2014-04-04
dc.identifier 10.1109/ICCIT.2009.85
dc.description.abstract This paper is motivated by the need to address the innovative development of algorithms to solve combinatorial problems, generally issued from decision making. Because modeling and resolution of this kind of problems is a software engineering subject, then to find better ways of developing algorithms, solvers and metaheuristics is our interest too. Here, we fixed some concepts from knowledge management, creativity and new software engineering trends applied in our work. © 2009 IEEE. en_US
dc.source ICCIT 2009 - 4th International Conference on Computer Sciences and Convergence Information Technology
Link Descarga dc.source.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-77749317538&partnerID=40&md5=3baeb697cf6a5221c54d2bc7c271ac30
Title dc.title Knowledge management and optimization modeling (for decision making) en_US
Tipo dc.type Conference Paper
dc.description.keywords Combinatorial problem; Creativity; Knowledge creations; Meta heuristics; Optimization modeling; Software engineering trends; Combinatorial mathematics; Computer science; Computer software; Decision making; Information technology; Knowledge management; Optimization; Knowledge engineering en_US


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