Optimization of Combustion Efficiency in Power Boilers Based on Multi Objective Genetic Algorithm
A multi-objective genetic algorithm based optimization method is proposed to address the problem of insufficient stability in traditional directional local constraint methods for optimizing combustion efficiency of electric boilers.This method specifies the optimization objective,constructs a multi-level constraint mechanism,and corrects the model through multi period verification.Tests have shown that under different loads(20%～100%Pe),the combustion efficiency optimization ratio exceeds 6.5,effectively improving the stability and performance of boiler combustion efficiency optimization.
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