Dependent-chance goal programming and its genetic algorithm based approach

摘要: This paper develops a general formulation of dependent-chance goal programming (DCGP) which is an extension stochastic in complex system, and gives example water allocation supply to show the application DCGP. A genetic algorithm based approach also presented solve such model. DCGP available systems there are multiple inputs outputs with their own reliability levels. The characteristic that chances some probabilistic goals Dependent, i.e., cannot be considered isolation or converted deterministic equivalents. Finally, Monte Carlo simulation discussed for calculating chance functions constraints.