Stochastic Chance-Constrained Programming
As the second type of stochastic programming developed by Charnes and Cooper , chance-constrained programming (CCP) offers a powerful means of modeling stochastic decision systems with assumption that the stochastic constraints will hold at least a of time, where a is referred to as the confidence level provided as an appropriate safety margin by the decision-maker.
KeywordsStochastic Programming Stochastic Simulation Vehicle Rout Problem Chance Constraint Deterministic Equivalent
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