The Sun Shadow Position Model on Gene Algorithms
作者: 张 慧 ：青海大学化工学院应用化学系，青海 西宁;
Abstract: Based on the straight rod as the research object, this paper uses the quadratic fitting method, genetic algorithm and the quantum genetic algorithm (ga) to deal with shadow data and video, to set up the sun’s shadow positioning model, from which the location and date can be concluded. Firstly, we transform some pictures in the video and extract gray level matrix, process rod and rod shadow matrix in binarization; secondly, calculate the shadow length at different times by the relationship of the proportional, through the quadratic fitting for the approximate scope of longitude; then, mesh edit the latitude and longitude, iterate through all the points by the heuristic algorithm; finally, we regard the shadow got by the latitude and longitude and the actual shadow as the objective function. When modeling, we find that the heuristic algorithm’s convergence speed is slow, therefore we use the genetic algorithm to the global search. In order to determine the possible date, we set up the sun shadow locating model which is based on genetic algorithm with binary coding to initialize the population, converted to a decimal calculation fitness, through iteration obtain the geographic coordinates.
文章引用: 张 慧 (2016) 基于遗传算法的太阳影子定位模型及研究。 数据挖掘， 6， 68-80. doi: 10.12677/HJDM.2016.61009
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