孙雅庚, 郭庆胜, 刘远刚, 吕秀琴, 郑春燕. 顾及格式塔原则的建筑物群移位实数编码遗传算法[J]. 武汉大学学报 ( 信息科学版), 2015, 40(2): 269-273.
引用本文: 孙雅庚, 郭庆胜, 刘远刚, 吕秀琴, 郑春燕. 顾及格式塔原则的建筑物群移位实数编码遗传算法[J]. 武汉大学学报 ( 信息科学版), 2015, 40(2): 269-273.
Sun Yageng, Guo Qingsheng, Liu Yuangang, Lv Xiuqin, Zheng Chunyan. A Real-Coded Genetic Algorithm Considering Gestalt Principles to Building Displacement[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 269-273.
Citation: Sun Yageng, Guo Qingsheng, Liu Yuangang, Lv Xiuqin, Zheng Chunyan. A Real-Coded Genetic Algorithm Considering Gestalt Principles to Building Displacement[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2): 269-273.

顾及格式塔原则的建筑物群移位实数编码遗传算法

A Real-Coded Genetic Algorithm Considering Gestalt Principles to Building Displacement

  • 摘要: 在建筑物群的综合过程中,建筑物群的移位是一个非常重要的任务。在分析已有算法的基础上,探讨了建筑物群移位的一个新的自适应实数编码遗传算法,在该算法中,考虑了建筑物与街道之间的空间关系和建筑物群排列在图形表达上的格式塔原则,在适应度函数的设计上也考虑了多重因素的影响,使得移位结果更符合地图制图规范和地图感受规律。实验结果表明,该算法在移位空间充足时能精确收敛到最优解,移位效果良好。

     

    Abstract: In the process of building cluster generalisation understanding building displacement is a very important task.Based on the analysis of existing algorithms,we discuss a new adaptive real-coded genetic algorithm for building cluster displacement. In this algorithm the spatial relationships between buildings and streets or roads and the Gestalt principles in the graphical representation of buildings arrangement are taken into account,and in the design of fitness function multiple factors are also considered,putting the displacement results more in line with the cartographic norms and map perception rules. Experimental results show that the algorithm can accurately converge to the optimal solution when the displacement space is sufficient,and the displacement effect is satisfactory.

     

/

返回文章
返回