Abstract
In this paper, we introduce a new class of optimization problems whose objective functions are weakly homogeneous relative to the constraint sets. By using the normalization argument in asymptotic analysis, we prove two criteria for the nonemptiness and boundedness of the solution set of a weakly homogeneous optimization problem. Moreover, we discuss the existence and stability of the solution sets of linearly parametric optimization problems. Several examples are given to illustrate the derived results.
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Acknowledgments
The author would like to express his deep gratitude to the two referees for their corrections and valuable comments which helped to improve the manuscript. This work has been supported by European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions, grant agreement 813211 (POEMA).
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Hieu, V.T. On the Nonemptiness and Boundedness of Solution Sets of Weakly Homogeneous Optimization Problems. Set-Valued Var. Anal 30, 1105–1116 (2022). https://doi.org/10.1007/s11228-022-00637-0
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DOI: https://doi.org/10.1007/s11228-022-00637-0
Keywords
- Weakly homogeneous optimization problem
- Asymptotic cone
- Pseudoconvex function
- Nonemptiness
- Boundedness
- Upper semicontinuity