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A multiobjective optimal service restoration methodology for shipboard power system (SPS) using a simulated annealing genetic algorithm is presented. All the multiple objective functions related to restoration problem for SPS are formulated as fuzzy sets. An analytic hierarchy process (AHP) is adopted to determine the weighted factors of each objective functions which is more convenient to be apprehended...
Accurate electricity price forecasting can provide crucial information for electricity market participants to make reasonable competing strategies. Support vector machine (SVM) is a novel algorithm based on statistical learning theory, which has greater generalization ability, and is superior to the empirical risk minimization principle as adopted by traditional neural networks. However, its generalization...
A module identification numerical optimize method, which based on axiomatic design theory, is proposed. Firstly, a series of property relationship which faces to product lifecycle is divided into four kinds of correlation degree, and then the integrated relationship matrix of product component is obtained. Secondly, the optimization function of module identification which based on the principle of...
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