Abstract
This work focuses on the nonemptiness and boundedness of the sets of efficient and weak efficient solutions of a vector optimization problem, where the decision space is a normed space and the image space is a locally convex Hausdorff topological linear space. By studying certain boundedness and coercivity concepts of vector-valued functions and via an asymptotic analysis, we extend to this kind of problems some well-known existence and boundedness results for efficient and weak efficient solutions of multiobjective optimization problems with Pareto or polyhedral orderings. Some of these results are proved under weaker assumptions.
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Acknowledgments
The authors are grateful to the anonymous referees who have contributed to improve the quality of the paper. This research was partially supported by the Ministerio de Economía y Competitividad (Spain) under project MTM2012-30942 (Gutiérrez and Novo) and Conicyt (Chile) under Proyecto Fondecyt 1100919 (López).
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Gutiérrez, C., López, R. & Novo, V. Existence and Boundedness of Solutions in Infinite-Dimensional Vector Optimization Problems. J Optim Theory Appl 162, 515–547 (2014). https://doi.org/10.1007/s10957-014-0541-7
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DOI: https://doi.org/10.1007/s10957-014-0541-7
Keywords
- Convex vector optimization
- Efficient solution
- Weak efficient solution
- Existence theorems
- Asymptotic function
- Asymptotic cone
- Boundedness
- Coercivity
- Linear scalarization
- Domination property