Abstract A stochastic multiobjective dynamic programming model is described for the optimal utilization of mineral resources for satisfying the energy demand of the national economy. The model is based on a special block-structure, where each block is characterized by its input and output vectors and state variables. The whole system is considered as a superposition of the subsystems defined by the individual blocks. Input-output and state transition relations are defined for each block, and the overall objectives of the whole system are defined by investment cost, production cost, manpower demand and environmental effect. A special stochastic multiobjective dynamic programming algorithm is developed for the numerical solution of the model, which is the common generalization of deterministic single or multiobjective dynamic programming algorithms and Bayesian decision methods. A case study illustrates the model and the solution methodology.
A stochastic multiobjective dynamic programming method with application to energy modelling
1986-01-01
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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