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人工蜂群算法及其在土地资源优化中的应用研究 被引量:2
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作者 张泊平 吴国玺 《成都信息工程学院学报》 2012年第6期589-593,共5页
设计了应用于土地资源优化的人工蜂群算法,实现了将人工蜂群算法应用于土地资源优化问题;解决了ABC算法应用于多目标优化的两个难题:过早老化的问题和收敛速度慢的问题;以许昌市为例,进行多目标土地利用优化配置应用研究。研究结果表明... 设计了应用于土地资源优化的人工蜂群算法,实现了将人工蜂群算法应用于土地资源优化问题;解决了ABC算法应用于多目标优化的两个难题:过早老化的问题和收敛速度慢的问题;以许昌市为例,进行多目标土地利用优化配置应用研究。研究结果表明:优化模型得到的土地利用格局、算法的适应度和收敛速度的均有明显提高。 展开更多
关键词 人工蜂群算法 土地资源优化模型 收敛速度 过早老化
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基于文献计量的国土空间规划研究现状与展望 被引量:5
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作者 陈俊垚 杨木壮 +1 位作者 刘伟聪 鲁真 《国土与自然资源研究》 2019年第5期30-33,共4页
我国的规划发展历程大概可以分为三段,从计划经济时期的“两规”到市场经济时期的“三规”再到如今的“三规合一”。我国的国土规划逐渐与其他规划合并组合成空间规划,用一张图来对未来的城镇村发展进行规划。本文通过介绍查询中国知网... 我国的规划发展历程大概可以分为三段,从计划经济时期的“两规”到市场经济时期的“三规”再到如今的“三规合一”。我国的国土规划逐渐与其他规划合并组合成空间规划,用一张图来对未来的城镇村发展进行规划。本文通过介绍查询中国知网的相关文献,对“国土空间”,“沿海地区规划”和“土地优化模型”的相关文献进行了计量统计分析并对统计结果进行可视化展示。总结:1、国土空间规划最早在1990年开始有学者进行研究并在2009年后成为了研究热点。2、大多数研究还处于定性研究中,定量科学研究较少。3、暂时缺乏真正意义的海陆空地下全方位的空间规划研究。4、规划算法上较多为基于线性的算法,缺乏多目标非线性的研究算法研究。 展开更多
关键词 三规合一 一张图 国土空间 沿海地区规划 土地优化模型
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Allocation optimization of bicycle-sharing stations at scenic spots 被引量:5
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作者 郭唐仪 张平 +1 位作者 邵飞 刘英舜 《Journal of Central South University》 SCIE EI CAS 2014年第8期3396-3403,共8页
Bicycle-sharing system is considered as a green option to provide a better connection between scenic spots and nearby metro/bus stations. Allocating and optimizing the layout of bicycle-sharing system inside the sceni... Bicycle-sharing system is considered as a green option to provide a better connection between scenic spots and nearby metro/bus stations. Allocating and optimizing the layout of bicycle-sharing system inside the scenic spot and around its influencing area are focused on. It is found that the terrain, land use, nearby transport network and scenery point distribution have significant impact on the allocation of bicycle-sharing system. While the candidate bicycle-sharing stations installed at the inner scenic points, entrances/exits and metro stations are fixed, the ones installed at bus-stations and other passenger concentration buildings are adjustable. Aiming at minimizing the total cycling distance and overlapping rate, an optimization model is proposed and solved based on the idea of cluster concept and greedy heuristic. A revealed preference/stated preference (RP/SP) combined survey was conducted at Xuanwu Lake in Nanjing, China, to get an insight into the touring trip characteristics and bicycle-sharing tendency. The results reveal that 39.81% visitors accept a cycling distance of 1-3 km and 62.50% respondents think that the bicycle-sharing system should charge an appropriate fee. The sttrvey indicates that there is high possibility to carry out a bicycle-sharing system at Xuanwu Lake. Optimizing the allocation problem cluster by cluster rather than using an exhaustive search method significantly reduces the computing amount from O(2^43) to O(43 2). The 500 m-radius-coverage rate for the alternative optimized by 500 m-radius-cluster and 800 m-radius-cluster is 89.2% and 68.5%, respectively. The final layout scheme will provide decision makers engineering guidelines and theoretical support. 展开更多
关键词 bicycle-sharing allocation optimization scenic spot CLUSTER
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A Hybrid Inexact Optimization Model for Land-use Allocation of China 被引量:7
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作者 ZHOU Min CAI Yunlong +2 位作者 GUAN Xingliang TAN Shukui LU Shasha 《Chinese Geographical Science》 SCIE CSCD 2015年第1期62-73,共12页
Land scarcity has become the prominent obstacle on the way to sustainable development for China. Under the constraints of land shortage, how to allocate the finite land resources to the multiple land users in China co... Land scarcity has become the prominent obstacle on the way to sustainable development for China. Under the constraints of land shortage, how to allocate the finite land resources to the multiple land users in China considering various political, environmental, ecological and economic conditions have become research topics with great significance. In this study, an interval fuzzy national-scale land-use model(IFNLM) was developed for optimizing land systems of China. IFNLM is based on an integration of existing interval linear programming(ILP), and fuzzy flexible programming(FFP) techniques. IFNLM allows uncertainties expressed as discrete interval values and fuzzy sets to be incorporated within a general optimization framework. It can also facilitate national-scale land-use planning under various environmental, ecological, social conditions within a multi-period and multi-option context. Then, IFNLM was applied to a real case study of land-use planning in China. The satisfaction degree of environmental constraints is between 0.69 and 0.97, the system benefit will between 198.25 × 1012 USD and 229.67 × 1012 USD. The results indicated that the hybrid model can help generate desired policies for land-use allocation with a maximized economic benefit and minimized environmental violation risk. Optimized land-use allocation patterns can be generated from the proposed IFNLM. 展开更多
关键词 land-use planning uncertain model interval linear programming(ILP) fuzzy flexible programming(FFP) environmental protection interval fuzzy national-scale land-use model(IFNLM)
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An Uncertain Programming Model for Land Use Structure Optimization to Promote Effectiveness of Land Use Planning 被引量:4
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作者 LI Xin MA Xiaodong 《Chinese Geographical Science》 SCIE CSCD 2017年第6期974-988,共15页
Land use structure optimization(LUSO) is an important issue for land use planning. In order for land use planning to have reasonable flexibility, uncertain optimization should be applied for LUSO. In this paper, the r... Land use structure optimization(LUSO) is an important issue for land use planning. In order for land use planning to have reasonable flexibility, uncertain optimization should be applied for LUSO. In this paper, the researcher first expounded the uncertainties of LUSO. Based on this, an interval programming model was developed, of which interval variables were to hold land use uncertainties. To solve the model, a heuristics based on Genetic Algorithm was designed according to Pareto Optimum principle with a confidence interval under given significance level to represent LUSO result. Proposed method was applied to a real case of Yangzhou, an eastern city in China. The following conclusions were reached. 1) Different forms of uncertainties ranged from certainty to indeterminacy lay in the five steps of LUSO, indicating necessary need of comprehensive approach to quantify them. 2) With regards to trade-offs of conflicted objectives and preferences to uncertainties, our proposed model displayed good ability of making planning decision process transparent, therefore providing an effective tool for flexible land use planning compiling. 3) Under uncertain conditions, land use planning effectiveness can be primarily enhanced by flexible management with reserved space to percept and hold uncertainties in advance. 展开更多
关键词 land use structure optimization (LUSO) UNCERTAINTIES FLEXIBILITY land use planning decision support system EFFECTIVENESS
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北京空间发展情景分析 被引量:1
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作者 林文棋 《北京规划建设》 2012年第3期40-44,共5页
研究概述中长期预测的不确定性受世界经济、技术条件、政策条件等诸多因素的影响,中长期社会经济系统的运行过程,更多表现出不连续的非线性的特征。这一特征使中长期的预测变得困难,表现在城市发展中长期预测上,主要来自于以下两个方面。
关键词 城镇空间 土地利用优化模型 拓展模型 空间拓展 北京市 增长量 增加量 城市建设用地 情景分析
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Rural land use spatial allocation in the semiarid loess hilly area in China:Using a Particle Swarm Optimization model equipped with multi-objective optimization techniques 被引量:24
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作者 LIU YaoLin LIU DianFeng +4 位作者 LIU YanFang HE JianHua JIAO LiMin CHEN YiYun HONG XiaoFeng 《Science China Earth Sciences》 SCIE EI CAS 2012年第7期1166-1177,共12页
Semiarid loess hilly areas in China are enduring a series of environmental conflicts between urban expansion,cultivated land conservation,soil erosion and water shortage,and require land use allocation to reconcile th... Semiarid loess hilly areas in China are enduring a series of environmental conflicts between urban expansion,cultivated land conservation,soil erosion and water shortage,and require land use allocation to reconcile these environmental conflicts.We argue that the optimized spatial allocation of rural land use can be achieved by a Particle Swarm Optimization (PSO) model in conjunction with multi-objective optimization techniques.Our study focuses on Yuzhong County of Gangsu Province in China,a typical catchment on the Loess Plateau,and proposes a land use spatial optimization model.The model maximizes land use suitability and spatial compactness based on a variety of constraints,e.g.optimal land use structure and restrictive areas,and employs an improved PSO algorithm equipped with a determinant initialization method and a dynamic weighted aggregation (DWA) method to obtain the optimized land use spatial pattern.The results suggest that (1) approximately 4% of land use should be reallocated and these changes would alleviate the environmental conflicts in the study area;(2) the major reshuffling is slope farmland and newly added construction and cultivated land,whereas the unchanged areas are largely forests and basic farmland;and (3) the PSO is capable of optimizing rural land use allocation,and the determinant initialization method and DWA can improve the performance of the PSO. 展开更多
关键词 spatial allocation rural land use particle swarm optimization multi-objective optimization Loess Plateau
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