Abstract
In this paper we propose an inexact proximal point method to solve multiobjective minimization problems with locally Lipschitz quasiconvex objective functions on the nonnegative orthant. Assuming that the function is also bounded from below, lower semicontinuous and using proximal distances, we obtain the convergence of the sequences generated by the algorithm. We give some computational results and an application to demand theory is presented.
Original language | English |
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Title of host publication | Proceedings of the 2020 3rd International Conference on Robot Systems and Applications, ICRSA 2020 |
Publisher | Association for Computing Machinery |
Pages | 75-81 |
Number of pages | 7 |
ISBN (Electronic) | 9781450387644 |
DOIs | |
State | Published - 14 Jun 2020 |
Externally published | Yes |
Event | 3rd International Conference on Robot Systems and Applications, ICRSA 2020 - Chengdu, China Duration: 14 Jun 2020 → 16 Jun 2020 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 3rd International Conference on Robot Systems and Applications, ICRSA 2020 |
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Country/Territory | China |
City | Chengdu |
Period | 14/06/20 → 16/06/20 |
Bibliographical note
Publisher Copyright:© 2020 ACM.
Keywords
- Microeconomy
- nonnegative orthant
- proximal method
- quasiconvex multiobjective minimization