An <i>l</i><sub>1</sub> Exact Exponential Penalty <i>E</i>‐Function Method for <i>E</i>‐Differentiable Vector Optimization Problems Under <i>E</i>‐Exponential Type Invexity

ABSTRACT In this paper, a new concept of generalised convexity and a new class of exact exponential penalty method, namely the concept of ‐ E ‐invexity and exact exponential penalty E ‐function method, respectively are introduced for (not necessarily) differentiable vector optimization problem in which functions are E ‐differentiable. The conditions governing the equivalence between sets of (weak) efficient solutions of the original constrained E ‐differentiable vector optimization problem and of its associated unconstrained exponential penalised vector optimization problem are studied. Examples are given to illustrate the obtained results.

Authors

Institutions

Publication Details

Journal
Journal of Multi-Criteria Decision Analysis
Published
2025-02-26
DOI
https://doi.org/10.1002/mcda.70009
Citations
1
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An l1 Exact Exponential Penalty E‐Function Method for E‐Differentiable Vector Optimization Problems Under E‐Exponential Type Invexity

Vivek Singh, I‎. ‎M‎. Stancu-Minasian, Neelima Shekhawat
1 citations
Journal of Multi-Criteria Decision Analysis
Optimization and Variational Analysis
1.50
article

An l1 Exact Exponential Penalty E‐Function Method for E‐Differentiable Vector Optimization Problems Under E‐Exponential Type Invexity

Vivek Singh, I‎. ‎M‎. Stancu-Minasian, Neelima Shekhawat
article en
1 citations

Abstract

ABSTRACT In this paper, a new concept of generalised convexity and a new class of exact exponential penalty method, namely the concept of ‐ E ‐invexity and exact exponential penalty E ‐function method, respectively are introduced for (not necessarily) differentiable vector optimization problem in which functions are E ‐differentiable. The conditions governing the equivalence between sets of (weak) efficient solutions of the original constrained E ‐differentiable vector optimization problem and of its associated unconstrained exponential penalised vector optimization problem are studied. Examples are given to illustrate the obtained results.

Journal of Multi-Criteria Decision AnalysisVol. 32(1)
Romanian Academy (RO), Manipal University Jaipur
Peace, Justice and strong institutions
Openalex Percentile: Top 19%
Optimization and Variational Analysis
1.50
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.

An <i>l</i><sub>1</sub> Exact Exponential Penalty <i>E</i>‐Function Method for <i>E</i>‐Differentiable Vector Optimization Problems Under <i>E</i>‐Exponential Type Invexity — Vivek Singh, I‎. ‎M‎. Stancu-Minasian, et al. · Journal of Multi-Criteria Decision Analysis (2025) | TGRS Research Map | TGRS