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In multistage problems, decisions are implemented sequentially, and thus may depend on past realizations of the uncertainty. Examples of such problems abound in applications of stochastic control and operations research; yet, where robust optimization has made great progress in providing a tractable formulation for a broad class of single-stage optimization problems with uncertainty, multistage problems...
An elevator group control scheduling (EGCS) method, which is combined with robust optimization (RO) and multi-agents, is proposed to deal with the uncertainty with the elevator traffic flow and the computation complexity. Considering the uncertainty of elevator traffic flow, the elevator schedule model based on RO is developed. An integrated method combined with multi-agent coordination (MAC) and...
The paper considers the application of Robust Optimization (RO) technique to model predictive control (MPC). Robust Optimization has received considerable attention recently as a result of the well accepted and proven interior-point method. The robust optimization has been investigated and applied to various application areas. It is of interest to see the application of robust optimization method...
A multi-objective operation model is proposed in this paper to deal with a multi-product, multi-period supply chain consisting of a supplier and a producer. In this supply chain, the amount of raw materials supply and their prices, ultimate products demand and their prices are uncertain. The uncertainties of prices are described by the uncertain intervals; the supplies and demands are described as...
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