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Strict Efficiency in Vector Optimization with Nearly Convexlike Set-Valued Maps
Author(s) -
Xiaohong Hu,
Zhimiao Fang,
Yunxuan Xiong
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/570918
Subject(s) - lagrange multiplier , saddle point , mathematics , vector optimization , scalar (mathematics) , duality (order theory) , mathematical optimization , set (abstract data type) , saddle , optimization problem , point (geometry) , pure mathematics , computer science , geometry , programming language , multi swarm optimization
The concept of the well posedness for a special scalar problem is linked with strictly efficient solutions of vector optimization problem involving nearly convexlike set-valued maps. Two scalarization theorems and two Lagrange multiplier theorems for strict efficiency in vector optimization involving nearly convexlike set-valued maps are established. A dual is proposed and duality results are obtained in terms of strictly efficient solutions. A new type of saddle point, called strict saddle point, of an appropriate set-valued Lagrange map is introduced and is used to characterize strict efficiency. © 2013 Xiaohong Hu et al.

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