JOURNAL ARTICLE

Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators

Kin Keung LaiM. Y. HassanSanjeev Kumar SinghJitendra Kumar MauryaShashi Kant Mishra

Year: 2021 Journal:   Fractal and Fractional Vol: 6 (1)Pages: 3-3   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

In this paper, we establish Fritz John stationary conditions for nonsmooth, nonlinear, semidefinite, multiobjective programs with vanishing constraints in terms of convexificator and introduce generalized Cottle type and generalized Guignard type constraints qualification to achieve strong S—stationary conditions from Fritz John stationary conditions. Further, we establish strong S—stationary necessary and sufficient conditions, independently from Fritz John conditions. The optimality results for multiobjective semidefinite optimization problem in this paper is related to two recent articles by Treanta in 2021. Treanta in 2021 discussed duality theorems for special class of quasiinvex multiobjective optimization problems for interval-valued components. The study in our article can also be seen and extended for the interval-valued optimization motivated by Treanta (2021). Some examples are provided to validate our established results.

Keywords:
Semidefinite programming Mathematical optimization Duality (order theory) Mathematics Interval (graph theory) Nonlinear programming Class (philosophy) Multi-objective optimization Type (biology) Optimization problem Nonlinear system Computer science Discrete mathematics Combinatorics Artificial intelligence

Metrics

11
Cited By
3.00
FWCI (Field Weighted Citation Impact)
59
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Optimization and Variational Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Optimization and Mathematical Programming
Physical Sciences →  Engineering →  Control and Systems Engineering

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