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Coal-fired boiler operation is confronted with two requirements to reduce its operation cost and to lower its emission. In this paper, a model for boiler efficiency and a model for NOx emission are set up respectively by RBF neural network. In order to obtain more accurate models without trying repeatedly, GA is introduced to optimize the parameter of RBF network. Then Non-Dominated Sorting Genetic...
The on-line optimal control of operation is difficult to achieve with routine optimization methods because of the nonlinear thermal system and the changing frequently conditions in start-up, stop and load change of the large-scale thermal power plant. Based on the research of three typical evolution optimization methods which are evolution strategies, genetic algorithm and evolution programming in...
Process of burning coal powder in the boiler is a very complex suspension combustion and very unstable. The technology of image processing is an important way to monitor the status of boilers. In this paper, we use image segmentation operation in this area, and the segmentation process is based on an improved hybrid genetic algorithm. In this algorithm, the simulated annealing algorithms and immune...
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