Genetic algorithm-based land use optimization for smart city planning-Reference-Cited by-同舟云学术

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Genetic algorithm-based land use optimization for smart city planning

Published:2023-10-16 Issue: Volume: Page:1-14
ISSN:1750-8975
Container-title:Intelligent Buildings International
language:en
Short-container-title:Intelligent Buildings International

Author:

Gao Chengquan¹,Zhao Yufeng¹

Affiliation:

1. School of Architecture and Urban Planning, Henan University of Urban Construction, Ping’dingshan Henan, People’s Republic of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Building and Construction,Civil and Structural Engineering,Geography, Planning and Development,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17508975.2023.2256726

Reference25 articles.

1. Generating Future Land-Use and Transportation Plans for High-Growth Cities Using a Genetic Algorithm

2. Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

3. Comparison of Three Different Optimization-Based Land Reallocation Models in Land Consolidation: A Case Study in Aydin/Turkey;Ertunc E.;Fresenius Environmental Bulletin,2019

4. Multi-Objective Optimal Allocation for Regional Water and Land Resources

5. Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms

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