Multiobjective Land-Use Optimization Allocation in Eucalyptus-Introduced Regions Based on the GMDP–ACO Model

2021 ◽  
Vol 147 (2) ◽  
pp. 05021004
Author(s):  
Xiaoqing Zhao ◽  
Kun Tan ◽  
Pengfei Xie ◽  
Bing Chen ◽  
Junwei Pu
Keyword(s):  
Land Use ◽  
Land Use Optimization ◽  
Optimization Allocation

scholarly journals MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

2016 ◽  
Vol XLI-B8 ◽  
pp. 1089-1092 ◽  
Author(s):  
Y. Zeng ◽  
W. Huang ◽  
W. Jin ◽  
S. Li
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Resource ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Land Use Allocation ◽  
Land Use Optimization ◽  
Multi Agent ◽  
Optimization Allocation

The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.

scholarly journals MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

2016 ◽  
Vol XLI-B8 ◽  
pp. 1089-1092
Author(s):  
Y. Zeng ◽  
W. Huang ◽  
W. Jin ◽  
S. Li
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Resource ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Land Use Allocation ◽  
Land Use Optimization ◽  
Multi Agent ◽  
Optimization Allocation

The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions in future would be of great interest to urban planning, water and land resource management, and climate change research.

Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China

2016 ◽  
Vol 320 ◽  
pp. 334-347 ◽  
Author(s):  
Honghui Zhang ◽  
Yongnian Zeng ◽  
Xiaobin Jin ◽  
Bangrong Shu ◽  
Yinkang Zhou ◽  
...  
Keyword(s):  
Land Use ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Objective ◽  
System A ◽  
Land Use Optimization ◽  
Multi Agent ◽  
Optimization Allocation

scholarly journals Land use optimization tool for sustainable intensification of high-latitude agricultural systems

2019 ◽  
Vol 88 ◽  
pp. 104104 ◽  
Author(s):  
Pirjo Peltonen-Sainio ◽  
Lauri Jauhiainen ◽  
Heikki Laurila ◽  
Jaana Sorvali ◽  
Eija Honkavaara ◽  
...  
Keyword(s):  
Land Use ◽  
High Latitude ◽  
Sustainable Intensification ◽  
Agricultural Systems ◽  
Land Use Optimization

Soil Loss Minimization through Land Use Optimization

2012 ◽  
Author(s):  
Davood - Nikkami ◽  
Hadi - Chamheidar ◽  
Mohammad Hossein - Mahdian ◽  
Ebrahim - Pazira
Keyword(s):  
Land Use ◽  
Soil Loss ◽  
Loss Minimization ◽  
Land Use Optimization

Quantifying water provision service supply, demand and spatial flow for land use optimization: A case study in the YanHe watershed

2020 ◽  
Vol 43 ◽  
pp. 101117 ◽  
Author(s):  
Dengshuai Chen ◽  
Jing Li ◽  
Xiaonan Yang ◽  
Zixiang Zhou ◽  
Yuqi Pan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Optimization ◽  
Water Provision
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