水稻浸种催芽箱温度传感器优化配置——基于遗传算法

Optimal Sensor Placement in Paddy Seeds Soaking Germination Device——Based on Genetic Algorithms

利用改进的遗传算法作为水稻浸种催芽箱温度传感器数量和位置的优化算法,对传感器进行了优化配置。以传感器独立性及数据相关特性作为适应度函数,使用实测数据作为温度传感器优化配置的处理数据,最终得到10个传感器的优化配置。与逐步累积配置方法进行对比分析表明,遗传算法用于传感器优化配置可得到最优化结果。

Using the improved genetic algorithm as a paddy seeds soaking germination device temperature sensor number and location of the optimization algorithm and optimize the configuration of sensor. Using sensor and data correlation characteristics of independence as a fitness function, using the measured data as a temperature sensor optimal allocation of processing data ,finally got 10 sensor optimal allocation. And gradually accumulated configuration methods contrast analysis, show that genetic algorithm is used for sensor optimal allocation can get optimal results.