e-weak minimal solutions of vector optimization problems with set-valued maps. (English) Zbl 1028.90057
Summary: We consider cone-subconvexlike vector optimization problems with set-valued maps in general spaces and derive scalarization results, \(\varepsilon\)-saddle point theorems, and \(\varepsilon\)-duality assertions using \(\varepsilon\)-Lagrangian multipliers.
MSC:
| 90C29 | Multi-objective and goal programming |
Keywords:
set-valued maps; vector optimization problems; cone-subconvexlikeness; e-weak minimal solutionsReferences:
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