Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators

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 <inlin...

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Main Authors: Kin Keung Lai, Mohd Hassan, Sanjeev Kumar Singh, Jitendra Kumar Maurya, Shashi Kant Mishra
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/6/1/3
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author Kin Keung Lai
Mohd Hassan
Sanjeev Kumar Singh
Jitendra Kumar Maurya
Shashi Kant Mishra
author_facet Kin Keung Lai
Mohd Hassan
Sanjeev Kumar Singh
Jitendra Kumar Maurya
Shashi Kant Mishra
author_sort Kin Keung Lai
collection DOAJ
description 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mo>—</mo></mrow></semantics></math></inline-formula>stationary conditions from Fritz John stationary conditions. Further, we establish strong <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mo>—</mo></mrow></semantics></math></inline-formula>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.
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spelling doaj.art-db90bb78beb349d991bd83431c9523092023-11-23T13:48:28ZengMDPI AGFractal and Fractional2504-31102021-12-0161310.3390/fractalfract6010003Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using ConvexificatorsKin Keung Lai0Mohd Hassan1Sanjeev Kumar Singh2Jitendra Kumar Maurya3Shashi Kant Mishra4International Business School, Shaanxi Normal University, Xi’an 710119, ChinaDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi 221005, IndiaDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi 221005, IndiaKashi Naresh Government Postgraduate College, Gyanpur, Bhadohi 221304, IndiaDepartment of Mathematics, Institute of Science, Banaras Hindu University, Varanasi 221005, IndiaIn 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mo>—</mo></mrow></semantics></math></inline-formula>stationary conditions from Fritz John stationary conditions. Further, we establish strong <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mo>—</mo></mrow></semantics></math></inline-formula>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.https://www.mdpi.com/2504-3110/6/1/3multiobjective programs with vanishing constraintssemidefinite programmingconvexificatorsnonsmooth analysisconstraint qualifications
spellingShingle Kin Keung Lai
Mohd Hassan
Sanjeev Kumar Singh
Jitendra Kumar Maurya
Shashi Kant Mishra
Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators
Fractal and Fractional
multiobjective programs with vanishing constraints
semidefinite programming
convexificators
nonsmooth analysis
constraint qualifications
title Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators
title_full Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators
title_fullStr Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators
title_full_unstemmed Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators
title_short Semidefinite Multiobjective Mathematical Programming Problems with Vanishing Constraints Using Convexificators
title_sort semidefinite multiobjective mathematical programming problems with vanishing constraints using convexificators
topic multiobjective programs with vanishing constraints
semidefinite programming
convexificators
nonsmooth analysis
constraint qualifications
url https://www.mdpi.com/2504-3110/6/1/3
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AT jitendrakumarmaurya semidefinitemultiobjectivemathematicalprogrammingproblemswithvanishingconstraintsusingconvexificators
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