A class of expected value bilevel programming problems with random coefficients based on rough approximation and its application to a production-inventory system (Q369868)
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scientific article; zbMATH DE number 6209254
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A class of expected value bilevel programming problems with random coefficients based on rough approximation and its application to a production-inventory system |
scientific article; zbMATH DE number 6209254 |
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A class of expected value bilevel programming problems with random coefficients based on rough approximation and its application to a production-inventory system (English)
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19 September 2013
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Summary: This paper focuses on the development of a bilevel optimization model with random coefficients for a production-inventory system. The expected value operator technique is used to deal with the objective function, and rough approximation is applied to convert the stochastic constraint into a crisp constraint. Then an interactive programming method and genetic algorithm are utilized to solve the crisp model. Finally, an application is given to show the efficiency of the proposed model and approaches in solving the problem.
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expected value operator technique
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crisp constraint
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genetic algorithm
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0.8946756
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0.86611325
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0.8628767
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0.8624239
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0.86139476
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