基于遗传算法的智慧城市规划土地利用优化

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Intelligent Buildings International Pub Date : 2023-10-16 DOI:10.1080/17508975.2023.2256726

Chengquan Gao, Yufeng Zhao

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引用次数: 0

摘要

高成全，2001年毕业于华南师范大学理学学士学位，2010年毕业于河南大学经济学硕士学位。现任河南城建大学建筑与城市规划学院副教授。主要研究领域和方向为区域发展与规划、农村发展与规划。赵玉峰，2005年获山东工业大学工学学士学位，西北大学工学硕士学位。现任河南城建大学建筑与城市规划学院副教授。主要研究方向为城乡规划与设计、农村建设与发展。关键词:智慧城市用地驱动因素pug遗传算法披露声明作者未报告潜在利益冲突。

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Genetic algorithm-based land use optimization for smart city planning

ABSTRACTGao 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.KEYWORDS: Smart cityland usedriving factorGPUgenetic algorithm Disclosure statementNo potential conflict of interest was reported by the author(s).

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来源期刊

Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-

CiteScore

4.60

自引率

4.30%

发文量