基于交互式遗传算法的城市景观设计优化研究
|
摘要
基于吸纳居民的意见对城市景观规划方案进行优化的考虑,文中提出一种采用交互式遗传算法(IGA)对城市景观设计进行优化的方法。该方法首先基于城市景观的三个特性,即墙面位置、高度和建筑纹理,使用Open GL技术开发城市景观设计模型,然后使用交互式遗传算法(IGA)对用户的评估意见进行量化,并基于量化结果对设计模型进行迭代优化,直至用户对设计感到满意为止。实验表明,该方法能够量化用户主观意见,并最终得出能让用户满意的设计结果。
Considering the opinions of residents to optimize the urban landscape planning,an interactive genetic algorithm( IGA) to optimize the urban landscape design is proposed. The method is based on three characteristics of the urban landscape,such as wall position,height and architectural texture.Utilizing Open GL technology to develop the urban landscape design model,using the interactive genetic algorithm( IGA) to quantify the user's assessment,it is iteratively optimizeing the design model based on quantification results until the user is satisfied. Experiments show that the method can quantify the subjective opinions of users and finally obtain the design results that can be satisfied by users.
Considering the opinions of residents to optimize the urban landscape planning,an interactive genetic algorithm( IGA) to optimize the urban landscape design is proposed. The method is based on three characteristics of the urban landscape,such as wall position,height and architectural texture.Utilizing Open GL technology to develop the urban landscape design model,using the interactive genetic algorithm( IGA) to quantify the user's assessment,it is iteratively optimizeing the design model based on quantification results until the user is satisfied. Experiments show that the method can quantify the subjective opinions of users and finally obtain the design results that can be satisfied by users.
引文
[1]符兴源,王雪娜,姜珊,等.城市公共开放空间低熟悉度使用者的景观偏好特征[J].城市问题,2018(9):35-42,73.
[2]段敏杰,王月容,谢军飞,等.基于美景度评价法的北京城市公园植物景观美学质量评价[J].科学技术与工程,2018,18(26):45-52.
[3]朱佳栋,苏少辉,陈昌,等.面向产品配置设计的改进交互式遗传算法[J].中国机械工程,2018(20):2474-2478.
[4]周凡,张伟,杨付正.基于Open GL的交互式全景视频显示系统[J].液晶与显示,2018,33(9):808-815.
[5]郭广颂,文振华,郝国生.基于群体决策的多用户协同交互式遗传算法[J].电子与信息学报,2018,40(9):2165-2172.
[6]柯莹,梁惠娥,王宏付.基于Open GL的虚拟服装二维样版设计与修改[J].东华大学学报:自然科学版,2018,44(3):415-419.
[7]郭广颂,陈良骥.基于熵极大准则的非用户赋适应值交互式遗传算法[J].电子学报,2017,45(12):2997-3004.
[8]郭广颂,李响,郝国生.基于进化个体混杂型适应值的交互式遗传算法[J].计算机工程,2018(11):184-189,196.
[9]郭广颂,陈良骥.一种装饰性墙壁纸智能选型系统研究[J].科技通报,2017,33(11):108-112.
[10]张岩,费广正.交互式遗传的3维场景扩展[J].中国图象图形学报,2017,22(5):631-642.
[11]杨延璞,张涛,顾蓉,等.基于色彩心理效应的工程机械配色设计方法[J].筑路机械与施工机械化,2016,33(9):101-104.
[12]杨伯超,丁华,李娟莉.基于交互式遗传算法的采煤机造型设计[J].煤炭工程,2016,48(4):132-134,138.
[13]蔡美菊,梁昌勇.基于用户偏好模型的交互式遗传算法[J].小型微型计算机系统,2016,37(4):758-762.
[14]窦润亮,郭均鹏,田祥龙,等.面向客户个性化需求的交互式遗传算法[J].管理科学学报,2016,19(1):24-34.
[15]陈鹏,吕健,潘伟杰.基于色彩方案重用的产品配色感性设计[J].工程设计学报,2015,22(6):546-551,561.
[16]杨凯,吴凤林,李娟莉.基于交互式遗传算法的炊具手柄设计[J].包装工程,2015,36(12):95-98,103.
[2]段敏杰,王月容,谢军飞,等.基于美景度评价法的北京城市公园植物景观美学质量评价[J].科学技术与工程,2018,18(26):45-52.
[3]朱佳栋,苏少辉,陈昌,等.面向产品配置设计的改进交互式遗传算法[J].中国机械工程,2018(20):2474-2478.
[4]周凡,张伟,杨付正.基于Open GL的交互式全景视频显示系统[J].液晶与显示,2018,33(9):808-815.
[5]郭广颂,文振华,郝国生.基于群体决策的多用户协同交互式遗传算法[J].电子与信息学报,2018,40(9):2165-2172.
[6]柯莹,梁惠娥,王宏付.基于Open GL的虚拟服装二维样版设计与修改[J].东华大学学报:自然科学版,2018,44(3):415-419.
[7]郭广颂,陈良骥.基于熵极大准则的非用户赋适应值交互式遗传算法[J].电子学报,2017,45(12):2997-3004.
[8]郭广颂,李响,郝国生.基于进化个体混杂型适应值的交互式遗传算法[J].计算机工程,2018(11):184-189,196.
[9]郭广颂,陈良骥.一种装饰性墙壁纸智能选型系统研究[J].科技通报,2017,33(11):108-112.
[10]张岩,费广正.交互式遗传的3维场景扩展[J].中国图象图形学报,2017,22(5):631-642.
[11]杨延璞,张涛,顾蓉,等.基于色彩心理效应的工程机械配色设计方法[J].筑路机械与施工机械化,2016,33(9):101-104.
[12]杨伯超,丁华,李娟莉.基于交互式遗传算法的采煤机造型设计[J].煤炭工程,2016,48(4):132-134,138.
[13]蔡美菊,梁昌勇.基于用户偏好模型的交互式遗传算法[J].小型微型计算机系统,2016,37(4):758-762.
[14]窦润亮,郭均鹏,田祥龙,等.面向客户个性化需求的交互式遗传算法[J].管理科学学报,2016,19(1):24-34.
[15]陈鹏,吕健,潘伟杰.基于色彩方案重用的产品配色感性设计[J].工程设计学报,2015,22(6):546-551,561.
[16]杨凯,吴凤林,李娟莉.基于交互式遗传算法的炊具手柄设计[J].包装工程,2015,36(12):95-98,103.