Continuous Optimization

Error Bounds for Generalized Mixed Vector Equilibrium Problems via a Minimax Strategy

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  • 1 College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China

Online published: 2018-06-30

Supported by

This research was supported by the National Natural Science Foundation of China (Nos. 11301567 and 11571055) and the Fundamental Research Funds for the Central Universities (No.106112015CDJXY100002).

Abstract

In this paper, by using scalarization techniques and a minimax strategy, error bound results in terms of gap functions for a generalized mixed vector equilibrium problem are established, where the solutions for vector problems may be general sets under natural assumptions, but are not limited to singletons. The other essentially equivalent approach via a separation principle is analyzed. Special cases to the classical vector equilibrium problem and vector variational inequality are also discussed.

Cite this article

Chun-Rong Chen, Xia Chen, Hong-Zhi Wei, Sheng-Jie Li .

Error Bounds for Generalized Mixed Vector Equilibrium Problems via a Minimax Strategy[J]. Journal of the Operations Research Society of China, 2018 , 6(2) : 317 -331 . DOI: 10.1007/s40305-017-0169-z

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