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Multiple Objective Programming Support [PDF]
, 1998 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 ...
Korhonen, P.
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Optimizing over the efficient set of the binary bi-objective knapsack problem [PDF]
Yugoslav 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
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Control of perishable inventory system with uncertain perishability process using neural networks and robust multicriteria optimization [PDF]
Bulletin 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
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Integer Programming Duality in Multiple Objective Programming [PDF]
Journal of Global Optimization, 2004 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]
International 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
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Using goal programming method to solve DEA problems with value judgments [PDF]
Yugoslav 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
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Mathematics, 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
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A Note on the Pay-off Matrix in Multiple Objective Programming [PDF]
, 1985 When solving financial planning problems with multiple goals by means of multiple objective programming, the presence of fractional goals leads to technical difficulties.
Kok, M. (Matthijs), Spronk, J. (Jaap)
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Multiple Objective Programming Support [PDF]
, 2001 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.
openaire +3 more sources
Complementing Solutions to Optimization Problems via Crowdsourcing on Video Game Plays
Applied 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
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