Nondifferentiable Multiobjective Programming Problem under Strongly K-Gf-Pseudoinvexity Assumptions

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 07 May 2020 Spain English Publisher:MDPI AGJournal:Mathematics, volume 8, page 738 (eissn: 2227-7390,

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Authors: Ramu Dubey; Lakshmi Narayan Mishra; Luis Manuel Sánchez Ruiz; Deepak Umrao Sarwe;

doi: 10.3390/math8050738 , 10.60692/nkh6c-d9h23 , 10.60692/616s3-dr191

Nondifferentiable Multiobjective Programming Problem under Strongly K-Gf-Pseudoinvexity Assumptions

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Abstract

In this paper we consider the introduction of the concept of (strongly) K- G f -pseudoinvex functions which enable to study a pair of nondifferentiable K-G- Mond-Weir type symmetric multiobjective programming model under such assumptions.

Country

Spain

Related Organizations

Universitat Politècnica de València
Spain
University of Mumbai
India
Vellore Institute of Technology University
India
J.C. Bose University of Science & Technology, YMCA
India

Keywords

K-G-Mond-Weir model, Cartography, Multiobjective programming, K-G-Mond-Weir model, symmetric duality, Multi-Objective Transportation Problem Optimization, Engineering, K-G(f)-pseudoinvex functions, nondifferentiable, QA1-939, FOS: Mathematics, K-Gf-pseudoinvex functions, Multiobjective, Weir, Numerical Analysis, multiobjective, Nonlinear Programming, Numerical Optimization Techniques, Semidefinite Programming, Mathematical economics, Geography, Multi-Objective Optimization, Mathematical optimization, Iterative Algorithms for Nonlinear Operators and Optimization, Applied mathematics, K-Gf-pseudoinvex functions, Computer science, Multi-objective optimization, Symmetric duality, Nondifferentiable, Computational Theory and Mathematics, Control and Systems Engineering, Computer Science, Physical Sciences, MATEMATICA APLICADA, Mathematics, Mixed-Integer Nonlinear Programs

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