Optimizing over the efficient set of the binary bi-objective knapsack problem [PDF]
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
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Control of perishable inventory system with uncertain perishability process using neural networks and robust multicriteria optimization [PDF]
The inventory systems are highly variable and uncertain due to market demand instability, increased environmental impact, and perishability processes.
Ewelina Chołodowicz +1 more
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Multiple Criteria Decision Making Combined with VRP: A Categorized Bibliographic Study [PDF]
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
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Using goal programming method to solve DEA problems with value judgments [PDF]
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
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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
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Complementing Solutions to Optimization Problems via Crowdsourcing on Video Game Plays
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
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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
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Topsis for multiple objective programming with rough decision set [PDF]
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
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Ratio-based data envelopment analysis: An interactive approach to identify benchmark
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
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Fuzzy Goal Programming for Linear Facility Location-Allocation in a Supply Chain; The Case of Steel Industry [PDF]
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
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