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.

Authors

Publication Details

Journal
RAIRO. Operations research
Published
2024-08-16
DOI
https://doi.org/10.1051/ro/2024165
Citations
1
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Vishnu Narayan Mishra, Ramu Dubey, Ramesh Kumar
1 citations
RAIRO. Operations research
Optimization and Variational Analysis
0.36
article

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

Vishnu Narayan Mishra, Ramu Dubey, Ramesh Kumar
article en
1 citations

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.

RAIRO. Operations researchVol. 58(5)
Department of Science and Technology, Ministry of Science and Technology, India, University Grants Commission
Openalex Percentile: Top 37%
Optimization and Variational Analysis
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.