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- W1606249457 abstract "Many real life problems which are modeled as linear programming problems where coefficients appear as random variables. In this case, such problems are called as stochastic programming problem. The basic approach in the stochastic programming is solving the problem with known methods by converting the problem from a probability structure to a deterministic structure. The chance constraints in this programming approach can be forced from being the random coefficients to deterministic one according to their specific levels. In this study when the coefficients which are random variables have normal and Chi-square distributions, obtaining of deterministic models that are equivalent to chance constrained stochastic programming models are examined. The importance of choosing the correct distributions of coefficients is explained by a numeric example." @default.
- W1606249457 created "2016-06-24" @default.
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- W1606249457 date "2011-07-29" @default.
- W1606249457 modified "2023-09-23" @default.
- W1606249457 title "DETERMINISTIC EQUIVALENTS OF CHANCE CONSTRAINED STOCHASTIC PROGRAMMING PROBLEMS" @default.
- W1606249457 doi "https://doi.org/10.20290/btdb.36329" @default.
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