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城市土地利用空间优化配置的多智能体系统与微粒群集成优化算法
引用本文:张鸿辉,曾永年,尹长林,喻定权.城市土地利用空间优化配置的多智能体系统与微粒群集成优化算法[J].武汉大学学报(信息科学版),2011(8):1003-1007.
作者姓名:张鸿辉  曾永年  尹长林  喻定权
作者单位:中南大学信息物理工程学院;中南大学空间信息技术与可持续发展研究中心;长沙市规划信息服务中心;
基金项目:国家自然科学基金资助项目(40771198); 湖南省自然科学基金资助项目(08JJ6023)
摘    要:在多目标约束下,构建了应用于城市土地利用空间优化配置的多智能体系统与微粒群集成优化算法,并以长株潭城市群的核心区域为例,开展了基于该算法的城市土地利用空间优化配置应用研究。研究结果表明,集成优化算法的Agent平均适应值和运行效率分别较微粒群优化和标准遗传算法得到了大幅度提高,从而证明了算法的可行性与先进性。

关 键 词:城市土地利用配置  多目标  空间优化  多智能体系统  微粒群优化算法

Simulating Spatial Optimization Allocation of Urban Land Use Based on the Integration of Multi-agent System and Particle Swarm Optimization Algorithm
ZHANG Honghui, ZENG Yongnian, YIN Changlin YU Dingquan.Simulating Spatial Optimization Allocation of Urban Land Use Based on the Integration of Multi-agent System and Particle Swarm Optimization Algorithm[J].Geomatics and Information Science of Wuhan University,2011(8):1003-1007.
Authors:ZHANG Honghui    ZENG Yongnian  YIN Changlin YU Dingquan
Institution:ZHANG Honghui1,2,3 ZENG Yongnian1,2 YIN Changlin3 YU Dingquan3(1 School of Info-Physics and Geomatics Engineering,Central South University,932 South Lushan Road,Changsha 410083,China) (2 Research Center of Space Info-Technique and Sustainable Development,China)(3 Changsha Planning Information Service Center,218 Yuelu Avenue,Changsha 410013,China)
Abstract:Under the constraint of multi-objective,multi-agent system and particle swarm optimization algorithm,for urban land use allocation with spatial optimization,was developed.The integration algorithm was applied to the simulation of spatial optimization allocation of urban land use in the core areas of Changsha.The allocation results show that the optimization level of each proposed objective is improved to a large extent compared with standard genetic algorithm and particle swarm optimization algorithm,and th...
Keywords:urban land use allocation  multi objective  spatial optimization  multi-agent system  particle swarm optimization algorithm  
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