%0 Journal Article %T 混合禁忌搜索算法在湖泊富营养化评价中的应用 %T Application of Hybrid Taboo Search to lake eutrophication evaluation %A 汪嘉杨 %A 李祚泳 %A 熊建秋 %A 徐婷婷 %A WANG,Jiayang %A LI,Zuoyong %A XIONG,Jianqiu %A XU,Tingting %J 湖泊科学 %J Journal of Lake Sciences %@ 1003-5427 %V 19 %N 4 %D 2007 %P 445-450 %K 湖泊;富营养化;评价;禁忌搜索;模拟退火;免疫算法 %K Lake;eutrophication;evaluation;Taboo Search;Simulated Annealing;Immune Arithmetic %X 本文提出了幂函数加和型湖泊富营养化评价指数公式, 同时将禁忌搜索算法与模拟退火、免疫进化算法有机地结合起来, 建立了求解优化问题的混合禁忌搜索算法(HTS)。将此算法用于评价指数公式的参数优化, 从而建立起湖泊富营养化综合评价模型, 为湖泊富营养化评价和预测提供了一条有效的途径。将优化好的湖泊富营养化模型用于东湖富营养化评价的实例研究, 结果表明此评价模型能较好地反映湖泊富营养化水平, 并具有较好的通用性和实用性。 %X The article presents a comprehensive index formula with power function for evaluating lake eutrophication, and the Hybrid Taboo Search (HTS) algorithm was also presented in order to optimize the parameters in the formula. Here, Hybrid Taboo Search is set up through combining Taboo Search with Simulated Anneal and Immune Arithmetic. The optimized formula was used in evaluating the level of ten sections in Donghu Lake. The results show that the model can describe the nature level of eutrophication well, and has indicating availability and simplicity for evaluation. %R 10.18307/2007.0413 %U http://www.jlakes.org/ch/reader/view_abstract.aspx %1 JIS Version 3.0.0