Sufficient Efficiency Criteria for New Classes of Non-Convex Optimization Models

In this paper, we introduce and study a new class of minimization models driven by multiple integrals as cost functionals. Concretely, we formulate and establish some sufficient efficiency criteria for a feasible point in the considered optimization problem. To this end, we introduce and define the concepts of (Γ,ψ)-invexity and generalized (Γ,ψ)-invexity for the involved real-valued controlled multiple integral-type functionals. More precisely, we extend the notion of (generalized) (Γ,ψ)-invexity to the multiple objective control models driven by multiple integral functionals. In addition, innovative proofs are considered for the principal results derived in the paper.

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Publication Details

Journal
Axioms
Published
2024-08-23
DOI
https://doi.org/10.3390/axioms13090572
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Sufficient Efficiency Criteria for New Classes of Non-Convex Optimization Models

Savin Treanţă, Omar Mutab Alsalami
Axioms
Optimization and Variational Analysis
article

Sufficient Efficiency Criteria for New Classes of Non-Convex Optimization Models

Savin Treanţă, Omar Mutab Alsalami
article en

Abstract

In this paper, we introduce and study a new class of minimization models driven by multiple integrals as cost functionals. Concretely, we formulate and establish some sufficient efficiency criteria for a feasible point in the considered optimization problem. To this end, we introduce and define the concepts of (Γ,ψ)-invexity and generalized (Γ,ψ)-invexity for the involved real-valued controlled multiple integral-type functionals. More precisely, we extend the notion of (generalized) (Γ,ψ)-invexity to the multiple objective control models driven by multiple integral functionals. In addition, innovative proofs are considered for the principal results derived in the paper.

AxiomsVol. 13(9)
Taif University (SA), Academia Oamenilor de Știință din România (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Taif University
Openalex Percentile: Top 84%
Optimization and Variational Analysis
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