摘要
针对影像中心现有布局优化方法自动化水平低、受个人主观意愿影响较大等问题,提出运用系统布置方法(systematic layout planning,SLP)和改进遗传算法相结合的方法对布局进行优化。利用SLP生成的布局方案改善遗传算法的初始种群,增加初始种群多样性;从遗传进化代数和个体适应函数值2个方面实现遗传参数自适应调节,提高其寻优效率。在西安某影像中心布置区域模型和多目标优化数学模型的基础上,运用改进后遗传算法对西安某影像中心布局优化问题进行了仿真实验。实验结果证明:该算法在求解影像中心布局优化问题时比传统遗传算法或蚁群算法速度更快、效果更好。提高了影像中心布局优化的自动化水平,为建筑设计人员提供合理的参考方案。
Aiming at the layout optimization methods of image center being influenced by the subjective factors and low level of automation,a method of combining systematic layout planning(SLP)with the improved genetic algorithm is proposed.The layout scheme generated by SLP improves the initial population of the genetic algorithm and increases the diversity of the initial population.In order to improve the efficiency of optimization,the improved algorithm updates the crossover probability and mutation probability adaptively according to the evolution stages and the fitness value of the individuals.On the basis of the layout area model and multi-objective optimization mathematical model established for an image center in Xi’an,the improved genetic algorithm is used to in the simulation.The experimental results show that the improved algorithm is faster and more effective than the traditional genetic algorithm or ant colony algorithm.The method can also improve the automation level of image center layout optimization and provide a reasonable reference scheme for the architectural designers.
作者
李智杰
石昊琦
李昌华
张颉
Li Zhijie;Shi Haoqi;Li Changhua;Zhang Jie(School of information and control engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第6期1173-1184,共12页
Journal of System Simulation
基金
国家自然科学基金(61373112,51878536)
陕西省自然科学基金(2020JQ-687)。
关键词
影像中心
布局优化
系统布置方法
遗传算法
自适应调节
image center
layout optimization
systematic layout planning
genetic algorithm
adaptive adjustment
作者简介
第一作者:李智杰(1980-),男,博士,副教授,研究方向为模式识别、数字建筑等。E-mail:lizhijie@xauat.edu.cn;通讯作者:李昌华(1963-),男,博士,教授,博导,研究方向为模式识别、数字建筑等。E-mail:lch304502@126.com。
