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中文摘要：
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。
英文摘要：
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 the model has the advantage of faster convergence rate and higher accuracy.
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同项目期刊论文
Study on the urban heat island effects and its relationship with surface biophysical characteristics
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