Non-differentiable second-order symmetric multiobjective fractional variational programming with cones constraints

In this article, we build a pair non-differentiable second-order symmetric multiobjective fractional variational programming models with cone constraints, where each objective function component has a support function for a compact convex set. The (C, ρ, θ)-convexity/(C, ρ, θ)-pseudo-convexity/(C, ρ, θ)-quasiconvexity functions are defined and also, constructed concrete numerical examples for existing such type of functions. The duality results are established by using these aforesaid assumptions.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-21
DOI
https://doi.org/10.1051/ro/2024165/pdf
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-differentiable second-order symmetric multiobjective fractional variational programming with cones constraints

Springer Link (Chiba Institute of Technology)
Optimization and Variational Analysis
article

Non-differentiable second-order symmetric multiobjective fractional variational programming with cones constraints

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Abstract

In this article, we build a pair non-differentiable second-order symmetric multiobjective fractional variational programming models with cone constraints, where each objective function component has a support function for a compact convex set. The (C, ρ, θ)-convexity/(C, ρ, θ)-pseudo-convexity/(C, ρ, θ)-quasiconvexity functions are defined and also, constructed concrete numerical examples for existing such type of functions. The duality results are established by using these aforesaid assumptions.

Springer Link (Chiba Institute of Technology)
Department of Science and Technology, Ministry of Science and Technology, India, University Grants Commission
Openalex Percentile: Top 66%
Optimization and Variational Analysis
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Non-differentiable second-order symmetric multiobjective fractional variational programming with cones constraints · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS