摘要
蚁群算法是一种模拟进化算法,初步研究表明该算法具有许多优良性质.针对传统水位流量关系曲线拟合过程中存在精度不高等问题,应用连续性空间优化问题的蚁群算法模型来拟合水位流量关系,并将该方法与遗传算法及传统的优化方法进行比较.结果表明,蚁群算法具有直观、简便、快速、实用性强等优点,是一种较为优秀的全局优化方法.
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties. To the disadvantages for unfavorable precision of traditional curvilinear regression methods, the ant colony algorithm in the continuous space optimization problems is presented for stage-discharge relation. In comparison with some traditional optimization methods and genetic algorithom, the practice for the parameter optimization shows that this method has the features of direct, convenient, fast, good applicatins, and this algorithom was found to be a superior global optimal method for solving the nonlinear continuous space optimization problems.
出处
《杭州师范学院学报（自然科学版）》
CAS
2005年第2期109-113,共5页
Journal of Hangzhou Teachers College(Natural Science)
基金
浙江省教育厅2004年度科研计划资助项目(编号:20040073)
浙江省教育厅教师研究项目(编号:2004B4XP14)
