Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1380
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dc.contributor.authorMishra, S K-
dc.contributor.authorPanda, G-
dc.contributor.authorMeher, S-
dc.contributor.authorMajhi, R-
dc.date.accessioned2011-02-05T06:26:12Z-
dc.date.available2011-02-05T06:26:12Z-
dc.date.issued2011-01-
dc.identifier.citationInternational Conference on Electronics Systems (ICES-2011),National Institute of Technology, Rourkela, India, 7-9th Jan 2011en
dc.identifier.urihttp://hdl.handle.net/2080/1380-
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractThe use of evolutionary algorithms in diversified application domains has gained ever increasing popularity in the last few years producing a wide range of interesting applications ranging from engineering and computer science to ecology, sociology and medicine. From these diversified application areas of evolutionary algorithms, economics and finance constitutes a very promising field.The use of evolutionary algorithms for solving multiobjective optimization problem emerges as a potential field of research in recent years. This paper presents the use of multi-objective evolutionary algorithms (MOEAs) for solving problems in economics and finance. Different applications of MOEA are explained briefly and a specific simulation work has been done for one particular application i.e. investment portfolio optimization.en
dc.format.extent234356 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectMulti-objective optimizationen
dc.subjectParetooptimal solutionsen
dc.subjectGlobal optimizationen
dc.subjectCrowding distanceen
dc.subjectPareto fronten
dc.titleA Study on Multi-Objective Evolutionary Algorithms and its Applications to Economics and Financeen
dc.typeArticleen
Appears in Collections:Conference Papers

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