| Title |
Genetic algorithm-based land use optimization for smart city planning |
| ID_Doc |
37762 |
| Authors |
Gao, CQ; Zhao, YF |
| Title |
Genetic algorithm-based land use optimization for smart city planning |
| Year |
2023 |
| Published |
|
| DOI |
10.1080/17508975.2023.2256726 |
| Abstract |
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. |
| Author Keywords |
Smart city; land use; driving factor; GPU; genetic algorithm |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001085844500001 |
| WoS Category |
Construction & Building Technology |
| Research Area |
Construction & Building Technology |
| PDF |
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