Stochastic Dependent-Chance Programming
In practice, there usually exist multiple events in a complex stochastic decision system. Sometimes, the decision-maker wishes to maximize the chance functions of these events (i.e., the probabilities of satisfying the events). In order to model this type of stochastic decision system, Liu  provided the third type of stochastic programming, called dependent-chance programming (DCP), in which the underlying philosophy is based on selecting the decision with maximal chance to meet the event.
KeywordsGenetic Algorithm Topological Optimization Stochastic Simulation Priority Level Uncertain Environment
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