Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry

A Fathi, B Karimi, RF Saen - Soft Computing, 2022 - Springer
The transport industry is one of the main contributors to environmental pollution. Assessing
the efficiency of this industry helps organizations to enhance their awareness of …

Optimization for multi-objective sum of linear and linear fractional programming problem: Fuzzy nonlinear programming approach

C Veeramani, S Sharanya, A Ebrahimnejad - Mathematical Sciences, 2020 - Springer
Multi-objective linear plus linear fractional programming problem is an emerging tool for
solving problems in different environments such as production planning, financial and …

Identifying approximate proper efficiency in an infinite dimensional space

N Hoseinpoor, M Ghaznavi - RAIRO-Operations Research, 2023 - rairo-ro.org
The main idea of this article is to characterize approximate proper efficiency that is a widely
used optimality concept in multicriteria optimization problems that prevents solutions having …

Finding properly efficient solutions of nonconvex multiobjective optimization problems with a minimum bound for trade-offs

N Hoseinpoor, M Ghaznavi - International Journal of Nonlinear …, 2024 - ijnaa.semnan.ac.ir
In the presented paper, we investigate efficient solutions to optimization problems with
multiple criteria and bounded trade-offs. A nonlinear optimization problem to find the …

Approximate quasi solutions of multiobjective optimization problems

C Khantree, R Wangkeeree - Thai Journal of Mathematics, 2021 - thaijmath2.in.cmu.ac.th
This paper deals with quasi approximate properly efficient solutions of multiobjective
optimization problems involving nonsmooth functions. In this case, some necessary and …

[图书][B] Visualisation, optimisation and Machine Learning: application in PET Reconstruction and Pea segmentation in MRI Images

S Al-Maliki - 2021 - search.proquest.com
This study aims to investigate the behaviour and applications of an Evolutionary Algorithm
(EA) based on a particular approach of Cooperative Co-evolution Algorithm (CCEA), the …

[PDF][PDF] Evaluation and ranking of manufactured cars in Iran using Network Data Envelopment Analysis model.

K JALILIAN, KN PIRBAZARI - … & Automatic Control/Revista Română de …, 2020 - rria.ici.ro
Data Envelopment Analysis (DEA) is a mathematical programming-based approach to
evaluating and ranking decision-making units (DMUs) with multiple inputs and outputs …

Optimizing over the properly efficient set of convex multi-objective optimization problems

K Ghazli, N Gillis, M Moulaï - Annals of Operations Research, 2020 - Springer
Optimizing over the efficient set of a multi-objective optimization problem is among the
difficult problems in global optimization because of its nonconvexity, even in the linear case …

Optimization in Internet Networks Using Data Envelopment Analysis Model with Undesirable Outputs

E Alipour Chavari, M Rostamy-Malkhalifeh… - Global Analysis and …, 2022 - gadm.du.ac.ir
The purpose of this paper is to use the decision making techniques of Data Envelopment
Analysis (DEA) in order to evaluate the existing Internet networks to select the most …

[PDF][PDF] Optimization in Internet Networks Using Data Envelopment Analysis Model with Undesirable Outputs

EA Chavari, M Rostamy-Malkhalifeh, FH Lotfi - academia.edu
The purpose of this paper is to use the decision making techniques of Data Envelopment
Analysis (DEA) in order to evaluate the existing Internet networks to select the most …