Genetic algorithm-based land use optimization for smart city planning

被引：0
|
作者：
Gao, Chengquan [1 ]
Zhao, Yufeng [1 ]
机构：
[1] Henan Univ Urban Construct, Sch Architecture & Urban Planning, Pingdingshan 467001, Henan, Peoples R China
来源：
INTELLIGENT BUILDINGS INTERNATIONAL | 2023年
关键词：
Smart city; land use; driving factor; GPU; genetic algorithm; REALLOCATION MODELS; CONSOLIDATION; SYSTEM; LAYOUT;
D O I：
10.1080/17508975.2023.2256726
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Gao Cheng-quan received the bachelor's degree in science from South China Normal University in 2001,the master's degree in economics from Henan University in 2010. He is currently working as an associate Professor at the School of Architecture and Urban Planning of Henan University of Urban Construction. His research areas and directions include regional development and planning, rural area development and planning. Zhao Yu-feng received the bachelor's degree in engineering from Shandong University of Technology in 2005, the master's degree in Engineering from Northwest University. She is currently working as an associate Professor at the School of Architecture and Urban Planning of Henan University of Urban Construction. Her research areas and directions include urban and rural planning and design, rural construction and development.
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页数：14
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