Results 1 to 10 of about 89,956 (118)

Optimizing over the efficient set of the binary bi-objective knapsack problem [PDF]

open access: yesYugoslav Journal of Operations Research, 2023
This paper deals with the problem of optimizing a linear function over the efficient set of a 0-1 bi-objective knapsack problem. Such a function represents the main criterion of the problem posed.
Chaabane Djamal, Lachemi Nadia
doaj   +1 more source

Control of perishable inventory system with uncertain perishability process using neural networks and robust multicriteria optimization [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2022
The inventory systems are highly variable and uncertain due to market demand instability, increased environmental impact, and perishability processes.
Ewelina Chołodowicz   +1 more
doaj   +1 more source

Generalizations of Higher-Order Duality for Multiple Objective Nonlinear Programming under the Generalizations of Type-I Functions

open access: yesMathematics, 2023
In this study, we introduce new generalizations of higher-order type-I functions and higher-order pseudo-convexity type-I functions. The application of the notion of sublinear functionals to these generalizations of higher-order type-I and higher-order ...
Mohamed Abd El-Hady Kassem   +1 more
doaj   +1 more source

Using goal programming method to solve DEA problems with value judgments [PDF]

open access: yesYugoslav Journal of Operations Research, 2014
Data envelopment analysis (DEA) is a linear programming approach for measuring relative efficiency of peer decision making units that have multiple inputs and outputs.
Izadikhah M.   +2 more
doaj   +1 more source

Multiple Criteria Decision Making Combined with VRP: A Categorized Bibliographic Study [PDF]

open access: yesInternational Journal of Supply and Operations Management, 2015
In this research author reviews references related to the topic of multi criterion (goal programming, multiple objective linear and nonlinear programming, bi-criterion programming, Multi Attribute Decision Making, Compromise Programming, Surrogate Worth ...
Yahia Zare Mehrjerdi
doaj   +3 more sources

Complementing Solutions to Optimization Problems via Crowdsourcing on Video Game Plays

open access: yesApplied Sciences, 2020
Leveraging human insight and intuition has been identified as having the potential for the improvement of traditional algorithmic methods. For example, in a video game, a user may not only be entertained but may also be challenged to beat the score of ...
Mariano Vargas-Santiago   +5 more
doaj   +1 more source

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

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

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

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

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