Abstract

In this paper, we establish the bounded rationality model M for generalized vector equilibrium problems by using a nonlinear scalarization technique. By using the model M, we introduce a new well-posedness concept for generalized vector equilibrium problems, which unifies its Hadamard and Levitin-Polyak well-posedness. Furthermore, sufficient conditions for the well-posedness for generalized vector equilibrium problems are given. As an application, sufficient conditions on the well-posedness for generalized equilibrium problems are obtained.

Highlights

  • As is well known, the notion of well-posedness can be divided into two different groups: Hadamard type and Tykhonov type [ ]

  • Tykhonov types of well-posedness for a problem such as Tykhonov and Levitin-Polyak well-posedness are based on the convergence of approximating solution sequences of the problem

  • The notion of extended well-posedness has been generalized to vector optimization problems by Huang [ – ]

Read more

Summary

Introduction

The notion of well-posedness can be divided into two different groups: Hadamard type and Tykhonov type [ ]. We observe that the scalarization technique is an efficient approach to deal with Tykhonov types well-posedness for vector optimization problems. Miglierina et al [ ] investigated several types of well-posedness concepts for vectorial optimization problems by using a nonlinear scalarization procedure.

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.