Results 11 to 20 of about 593,180 (241)

Genetic algorithmic based approach for multiple-objective probabilistic fractional programming problem involving discrete random variables

open access: yesPLoS ONE, 2022
This manuscript presents a technique for solving a multiple-objective probabilistic fractional programming problem with discrete random variables. A multiple-objective probabilistic mathematical model is constructed with fractional objectives.
Berhanu Belay, Adane Abebaw
doaj   +2 more sources

An exact method for a discrete multiobjective linear fractional optimization [PDF]

open access: yes, 2007
Integer linear fractional programming problem with multiple objective MOILFP is an important field of research and has not received as much attention as did multiple objective linear fractional programming.
Chergui, M. E-A, Moulai, M.
core   +2 more sources

Topsis for multiple objective programming with rough decision set [PDF]

open access: yesYugoslav Journal of Operations Research
Many optimization problems have competing objectives that require being optimized at the same time. These problems are called ”multiple objective programming problems (MOPPs)”.
Abou-El-Enien Tarek   +2 more
doaj   +1 more source

Ratio-based data envelopment analysis: An interactive approach to identify benchmark

open access: yesResults in Control and Optimization, 2022
In the real world we are confronted with many cases where the ratio of input/output data is so important for managers, so in this regard we cannot use traditional Data Envelopment Analysis (DEA) models to evaluate the efficiency of decision-making units (
M.R. Mozaffari   +4 more
doaj   +1 more source

Optimising a nonlinear utility function in multi-objective integer programming [PDF]

open access: yes, 2012
In this paper we develop an algorithm to optimise a nonlinear utility function of multiple objectives over the integer efficient set. Our approach is based on identifying and updating bounds on the individual objectives as well as the optimal utility ...
A. Przybylski   +22 more
core   +2 more sources

A Better Approach for Solving a Fuzzy Multiobjective Programming Problem by Level Sets

open access: yesMathematics, 2021
In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient
Beatriz Hernández-Jiménez   +3 more
doaj   +1 more source

Fuzzy Goal Programming for Linear Facility Location-Allocation in a Supply Chain; The Case of Steel Industry [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2017
This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. We consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation ...
S. M. Arabzad   +2 more
doaj   +1 more source

Fuzzy Multi-Choice Goal Programming and Artificial Bee Colony Algorithm for Triangular and Trapezoidal Membership Functions

open access: yesIEEE Access, 2021
Multi-choice goal programming (MCGP) has been widely used to find satisfying solutions for multiple criteria/objective decision problems in which the target value of “the more, the better,” or “the less, the better” can easily
Ching-Ter Chang   +2 more
doaj   +1 more source

Multiple Objective Linear Programming (MOLP) Problems with the Same Objective Space

open access: yesJournal of Algorithms & Computational Technology, 2009
Under the linear mapping efficient extreme points in decision space of multiple objectives linear programming (MOLP) may not map to non dominated extreme points in objective space, condition that two or even more multiple objective linear programming ...
S.F. Tantawy, R.H. Sallam
doaj   +1 more source

Water Supply Planning under Interdependence of Actions: Theory and Application [PDF]

open access: yes, 1999
An ongoing water supply planning problem in the Regional Municipality of Waterloo, Ontario, Canada, is studied to select the best water supply combination, within a multiple-objective framework, when actions are interdependent.
Hipel, Keith W.   +2 more
core   +2 more sources

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