| 应用粒子群算法优化地位指数曲线模型参数研究 |
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| 引用本文： | 胡欣欣,王李进.应用粒子群算法优化地位指数曲线模型参数研究[J].南京气象学院学报,2011(4):360-364. |
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| 作者姓名： | 胡欣欣 王李进 |
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| 作者单位： | 福建农林大学计算机与信息学院, 福州, 350002;福建农林大学计算机与信息学院, 福州, 350002 |
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| 基金项目： | 福建省自然科学基金项目(2009-J05043;2011J05044);福建农林大学青年教师基金项目(2010019) |
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| 摘 要： | 以优势高和地位指数的估测误差最小为目标函数,采用粒子群优化算法求解地位指数曲线模型的参数.结合实例与免疫算法比较,结果表明:粒子群优化算法求解的参数使模型的总体误差更小,精度更高,拟合效果更理想,更加科学合理,同时也提高了幼林的估算精度.研究的结果为森林经营中生长模型参数的求解以及相关研究提供了新的应用思路,也拓宽了粒子群优化算法在林业科学中的应用.
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| 关 键 词： | 粒子群算法 地位指数 参数优化 |
| 收稿时间： | 2011/1/18 0:00:00 |
Applying particle swarm optimization algorithm to optimize the site index curve model |
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| HU Xinxin and WANG Lijin.Applying particle swarm optimization algorithm to optimize the site index curve model[J].Journal of Nanjing Institute of Meteorology,2011(4):360-364. |
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| Authors: | HU Xinxin and WANG Lijin |
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| Institution: | College of Computer & Information Science, Fujian Agriculture and Forestry University, Fuzhou 350002;College of Computer & Information Science, Fujian Agriculture and Forestry University, Fuzhou 350002 |
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| Abstract: | The parameters of the site index curve model were solved by using particle swarm optimization(PSO) algorithm,with the minimum error in estimation of dominant height and site index as the target function.An application example is introduced to test the proposed method,and the estimation result is compared between PSO and immune algorithm.Comparison result shows that the parameters solved by PSO can decrease the overall error,increase the precision,improve the fitting effect of the site index curve model,thus increase the estimation precision of young forest.This research is hoped to provide new idea for parameter solving of grow model in forest management and related research,and expand the application of PSO in forestry science as well. |
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| Keywords: | particle swarm optimization site index parameter optimization |
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