Generalized (Phi, Rho)-convexity in nonsmooth vector optimization over cones

Authors

  • Malti Kapoor Motilal Nehru College, University of Delhi, India
  • Surjeet K Suneja Miranda House, University of Delhi, India
  • Sunila Sharma Miranda House University of Delhi, India

DOI:

https://doi.org/10.11121/ijocta.01.2016.00247

Keywords:

Nonsmooth vector optimization over cones, cone-generalized (Phi, Rho)-convexity, nonsmooth optimality conditions, duality.

Abstract

In this paper, new classes of cone-generalized (Phi,Rho)-convex functions are introduced for a nonsmooth vector optimization problem over cones, which subsume several known studied classes. Using these generalized functions,  various sufficient Karush-Kuhn-Tucker (KKT) type  nonsmooth optimality conditions are established wherein Clarke's generalized gradient is used. Further, we prove duality results for both Wolfe and Mond-Weir type duals under various types of cone-generalized (Phi,Rho)-convexity assumptions.Phi,Rho

Downloads

Download data is not yet available.

Author Biographies

Malti Kapoor, Motilal Nehru College, University of Delhi, India

Assistant Professor, Department of Mathematics

Surjeet K Suneja, Miranda House, University of Delhi, India

Professor, Department of Mathematics

Sunila Sharma, Miranda House University of Delhi, India

Professor, Department of Mathematics

References

Antczak, T., On nonsmooth (Phi,Rho)-invexmultiobjective programming in finite-dimensional Euclidean spaces, Journal of Advanced Mathematical Studies, 7, 127-145 (2014).

Antczak, T., Stasiak, A., (Phi,Rho)-invexity in nonsmooth optimization, Numerical Functional Analysis and Optimization, 32(1), 1-25 (2010). Crossref

Caristi, G., Ferrara, M., Stefanescu, A., Mathematical programming with (Phi,Rho)-invexity. In: Konnov, I.V., Luc, D.T., Rubinov, A.M. (eds.) Generalized Convexity and Related Topics. Lecture Notes in Economics and Mathematical Systems, 583, 167-176. Springer, Berlin-Heidelberg-New York (2006).

Clarke, F. H., Optimization and Nonsmooth Analysis, Wiley, New York (1983).

Craven, B. D., Nonsmooth multiobjective programming, Numerical Functional Analysis and Optimization, 10(1-2), 49-64 (1989). Crossref

Ferrara, M., Stefanescu, M.V., Optimality conditions and duality in multiobjective programming with (Phi,Rho)-invexity. Yugoslav Journal of Operations Research, 18, 153-165 (2008). Crossref

Hanson, M.A., On sufficiency of the Kuhn-Tucker conditions, Journal of Mathematical Analysis and Applications, 80, 545-550 (1981). Crossref

Hanson, M.A., Mond, B., Further generalization of convexity in mathematical programming. Journal of Information and Optimization Sciences, 3, 25-32 (1982). Crossref

Preda, V., On efficiency and duality for multiobjective programs, Journal of Mathematical Analysis and Applications, 166, 365-377 (1992). Crossref

Vial, J.P., Strong and weak convexity of sets and functions, Mathematics of Operations Research, 8, 231-259 (1983). Crossref

Downloads

Published

2016-01-24
CITATION
DOI: 10.11121/ijocta.01.2016.00247
Published: 2016-01-24

How to Cite

Kapoor, M., Suneja, S. K., & Sharma, S. (2016). Generalized (Phi, Rho)-convexity in nonsmooth vector optimization over cones. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 6(1), 1–7. https://doi.org/10.11121/ijocta.01.2016.00247

Issue

Section

Optimization & Applications