GENERATION OF K−CONVEX TEST PROBLEMS IN VARIABLE ORDERING SETTINGS

Authors

  • Gemayqzel Bouza Allende Universidad de La Habana
  • Daniel Hernández Escobar University of Bergen
  • Jan J. Ruckmann University of Bergen

Keywords:

K-convexity variable ordering structure vector optimization

Abstract

Vector optimization problem with variable ordering structure is an extension of classical VOP with applications in Medicine and Economy. An approach that has been extended to this class is the projected gradient method. Although its theoretical convergence has been obtained, numerical ex- perience is needed. In this work we propose two methods for generating test problems for this algorithm. Our proposals are based on Bishop-Phelps and simplicial cones respectively. In both cases we ensure that the hypothesis for the convergence of the projected gradient are satisfied.

Downloads

Download data is not yet available.

Downloads

Published

2023-04-12

How to Cite

Bouza Allende, G., Hernández Escobar, D., & Ruckmann, J. J. (2023). GENERATION OF K−CONVEX TEST PROBLEMS IN VARIABLE ORDERING SETTINGS. Investigación Operacional, 39(3). Retrieved from https://revistas.uh.cu/invoperacional/article/view/3981

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.