Results 1 to 10 of about 156 (70)
RAIRO Oper. Res., 2021 In this paper, a new multiobjective discrete particle swarm algorithm is presented for the Capacitated vehicle routing problem. The binary algorithm integrates particle displacement based on local attractors, a crowding distance as elitism policy and ...
Abdou Bacar +1 more
semanticscholar +1 more source
Inverse data envelopment analysis with stochastic data
RAIRO Oper. Res., 2021 The inverse Data Envelopment Analysis (InvDEA) is an exciting and significant topic in the DEA area. Also, uncertain data in various real-life applications can degrade the efficiency results.
A. Ghomi +3 more
semanticscholar +1 more source
Pareto front approximation through a multi-objective augmented Lagrangian method
EURO Journal on Computational Optimization, 2021 In this manuscript, we consider smooth multi-objective optimization problems with convex constraints. We propose an extension of a multi-objective augmented Lagrangian Method from recent literature.
Guido Cocchi +2 more
doaj +1 more source
RAIRO Oper. Res., 2021 This paper considers an exact bi-objective approach for simultaneously minimizing the total cost of flow routing and the network bottleneck when link qualities and flow weights are relevant.
L. Pinto +2 more
semanticscholar +1 more source
Miskolc Mathematical Notes, 2021 In this paper, a new class of nonconvex nonsmooth multiobjective programming problems with both inequality and equality constraints defined in a real Banach space is considered.
T. Antczak, R. Verma
semanticscholar +1 more source
KT-E-invexity in E-differentiable vector optimization problems
, 2021 In this paper, a new concept of generalized convexity is introduced for E-differentiable vector optimization problems. Namely, the concept of KT-E-invexity is defined for (not necessarily) differentiable vector optimization problems in which the ...
Najeeb Abdulaleem
semanticscholar +1 more source
Combining the cross-entropy algorithm and ∈-constraint method for multiobjective optimization
Moroccan Journal of Pure and Applied Analysis, 2021 This paper aims to propose a new hybrid approach for solving multiobjective optimization problems. This approach is based on a combination of global and local search procedures.
Ezzine Abdelmajid +2 more
doaj +1 more source
Intelligent Systems with Applications, 2022 We propose new mathematical models of inventory management in a reverse logistics system. The proposed models extend the model introduced by Nahmias and Rivera with the assumption that the demand for newly produced and repaired (remanufacturing) items ...
M. Forkan, M.M. Rizvi, M.A.M. Chowdhury
doaj +1 more source
Journal of Inequalities and Applications, 2014 In this paper, a new class of generalized of nonconvex multitime multiobjective variational problems is considered. We prove the sufficient optimality conditions for efficiency and proper efficiency in the considered multitime multiobjective variational ...
A. Pitea, T. Antczak
semanticscholar +2 more sources
Imprecise Shannon's Entropy and Multi Attribute Decision Making
Entropy, 2010 : Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon’s entropy method is one of the various methods for finding weights discussed in the literature.
F. Lotfi, R. Fallahnejad
semanticscholar +1 more source