A proximal method for multiobjective quasiconvex minimization on the nonnegative orthant and its application to demand theory in microeconomy

Date
2020-07-16Author
Papa Quiroz, Erik Alex
Borda Marcatinco, Dante
Collantes Sánchez, Frank
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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.
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Bibliographic citation
Papa, E. A., Borda, D., & Collantes, F. (2020). A proximal method for multiobjective quasiconvex minimization on the nonnegative orthant and its application to demand theory in microeconomy. ICRSA 2020: Proceedings of the 2020 3rd International Conference on Robot Systems and Applications, 75-81. https://doi.org/10.1145/3402597.3402611
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
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