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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 60, 2011 - Issue 5
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Original Articles

On some Fermat rules for set-valued optimization problems

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Pages 575-591 | Received 28 Apr 2009, Accepted 20 Nov 2009, Published online: 11 Nov 2010
 

Abstract

The aim of this article is to obtain necessary optimality conditions for Pareto minima in set-valued optimization problems. We employ a new method to derive generalized Fermat rules for set-valued optimization. This method is based on openness results for multifunctions and allows recovery of a large number of results and, at the same time, getting several new ones.

AMS Subject Classifications:

Acknowledgements

The authors thank one of the anonymous referees for his/her constructive remarks. This research was supported by the CNCSIS Grant Code ID 379/2007.

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