遗传算法优化燃气梭式窑升温速率的研究  

APPLICATION OF GA TO SHUTTLE KILN HEATING RATE OPTIMIZATION

作　　者：蒋方乐[1] 邱敏敏[1] 章明铁[1] 

机构地区：[1]景德镇陶瓷学院,景德镇333403

出　　处：《中国陶瓷工业》2009年第3期23-26,共4页China Ceramic Industry

摘　　要：将陶瓷制品烧成中各个阶段的工艺要求作为遗传算法优化梭式窑升温速率的约束条件,将各个阶段的升温速率进行实数编码,把燃气消耗总量作为适应度函数的指标,进行遗传操作。结果显示优化后的升温速率在梭式窑烧成中能起到降低燃耗的效果。Technical requirements of the ceramic products heating in various stages were proposed in this paper as constraints on optimizing the shuttle kiln heating rate by genetic algorithm. The heating rates of various stages have been real-coded, and the whole gas consumption in each stage has been used as an indicator of fitness function. The results show that the optimal heating rate in the shuttle kiln can reduce energy consumption.

关 键 词：升温速率 遗传算法 约束条件 优化 

分 类 号：TQ174.653.2[化学工程—陶瓷工业]