基于并列选择遗传算法的太阳影子定位方法

Positioning method by the shadow of the sun based on parallel selected genetic lgorithm

根据"立竿见影"和竿影日照图的原理,提出了一种太阳影子定位方法.首先结合太阳高度角、太阳赤纬角,以理论影长和实际影长的相关系数最大和其误差平方和最小为目标函数建立了求太阳影子定位的多目标优化模型,并以测量地的经纬度作为设计变量,运用并行选择的遗传算法进行求解,实现了对测量地的精准定位.最后通过实例分析,指出与传统的枚举算法相比,本文采用的遗传算法的求解结果无论在精度还是在收敛速度上都优于传统的枚举算法.

According to the natural phenomenon that produces a shadow of objects under di-rect sunlight and the formation principle of stick sunlight shadow chart, the positioning method by the shadow of the sun is offered. Combined with relevant knowledge such as solar altitude and declination of sun. The multiple object optimization model,whose objective fun-ction is the maximum of correlation coefficient and the minimum of error sum of squares a-bout practical and theoretical shadow7s length, is built. Regarding longitude and latitude of measure area as design variables, the measure area is confirmedwith parallelism selection ge-netic algorithm. In the analysis of case, compared with enumeration method, there is the truth that,the result by genetic algorithm is more accurate and the solution speed is faster than enumeration method.