摘要
蚁群算法是一种模拟进化算法,该算法具有许多优越的性质。研究了一种可用于求解连续空间优化问题的蚁群算法策略,针对洪水演算的马斯京根模型参数估计问题,应用连续性空间优化问题的蚁群算法模型进行了求解。应用实例表明,蚁群算法在求解连续空间优化问题中是很有效的,可以广泛应用于各种自然灾害模型的优化问题。
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.In this paper,a new type of ant colony algorithm's explorative strategy which can be applied to solving the continuous space optimization problems is studied.By making use of the ant colony algorithm in the continuous space optimization problems,the parameter estimation of Muskingum routing model is solved.The results of the computer simulation show that the ant colony algorithm is a efficient method for solving the continuous space optimization problems and can be widely used in solving the optimization problem of natural disaster models.
出处
《自然灾害学报》
CSCD
北大核心
2005年第5期20-24,共5页
Journal of Natural Disasters
基金
杭州师范学院科研基金资助重点项目(2004XNZ04)
关键词
蚁群算法
洪水演算
马斯京根模型
参数估计
ant colony algorithm
flood calculation
Muskingum routing model
parameter estimation
