Results 1 to 10 of about 669,440 (291)
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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Integer Programming Duality in Multiple Objective Programming [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Klamroth, Kathrin +2 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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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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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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Multiple Objective Programming Support [PDF]
This paper gives a brief introduction into multiple objective programming support. We will overview basic concepts, formulations, and principles of solving multiple programming problems.To solve those problems requires the the intervention of a decision-maker.
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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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