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Optimality and duality in constrained interval-valued optimization
- Source :
- 4OR. 16:311-337
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Fritz John and Karush–Kuhn–Tucker necessary conditions for local LU-optimal solutions of the constrained interval-valued optimization problems involving inequality, equality and set constraints in Banach spaces in terms of convexificators are established. Under suitable assumptions on the generalized convexity of objective and constraint functions, sufficient conditions for LU-optimal solutions are given. The dual problems of Mond–Weir and Wolfe types are studied together with weak and strong duality theorems for them.
- Subjects :
- 021103 operations research
Optimization problem
010102 general mathematics
0211 other engineering and technologies
Banach space
Duality (optimization)
02 engineering and technology
Management Science and Operations Research
01 natural sciences
Convexity
Interval valued
Theoretical Computer Science
Management Information Systems
Computational Theory and Mathematics
Constraint functions
Applied mathematics
Strong duality
0101 mathematics
Mathematics
Subjects
Details
- ISSN :
- 16142411 and 16194500
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- 4OR
- Accession number :
- edsair.doi...........c6965b3270b89bea066c34eb793d9c77
- Full Text :
- https://doi.org/10.1007/s10288-017-0369-8