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遗传算法是一种基于生物选择与遗传机理的随机搜索与优化的方法,近年来解决了许多不同领域不同类型的优化难题.采用此方法就生物质发电过程中集料处理作业系统优化问题进行了研究.文中以获取最小生物质发电集料处理系统成本为目标,利用遗传算法对集料处理系统工序进行了优化设计,通过输入实际案例数据,得到的输出结果与试验结果一致,证明了设计的有效性.同时,通过测试不同参数取值对输出结果的影响,得到了最佳参数值.研究对于企业优化生产工艺、降低生产成本,对于政府审核生物质发电项目具有重大意义.
Genetic algorithm is a kind of random search and optimization method based on biological selection and genetic mechanism, and in recent years, it solves many different types of optimization problems in different fields.With this method, the optimization of aggregate handling system in biomass power generation is carried out Aiming at obtaining the cost of the minimal biomass power generation aggregate processing system, the process of the aggregate processing system is optimized by using genetic algorithm, and the output results are consistent with the experimental results by inputting actual case data, which proves that the designed The optimal parameters are obtained by testing the influence of the different parameters on the output results.The research is of great significance for the government to optimize the production process and reduce the production cost for the government to audit the biomass power generation project.