计算机工程与应用2011，Vol.47Issue(11)：223-225,248,4.DOI:10.3778/j.issn.1002-8331.2011.11.063
人工蜂群算法在重力坝断面优化设计中的应用
Optimal design of gravity dam section using artificial bee colony algorithm
摘要
Abstract
Artificial Bee Colony(ABC) algorithm is a newly swarm intelligence optimization algorithm.It has become a powerful tool for solving highly nonlinear multi-peak optimization problems.The results of performances testing using three benchmark functions show that the numbers of evaluation for fitness function of ABC are obviously less than that using particle swarm optimization algorithm.Thus,ABC has better suitability for solving multi-modal optimization problems.Finally,ABC algorithm is applied to the design optimization of gravity dam section.The result shows that the artificial bee colony algorithm is feasible and has the advantages of high efficiency and easy implementation.关键词
结构优化/重力坝/全局优化/人工蜂群算法Key words
structural optimization/gravity dam/global optimization/artificial bee colony algorithm分类
建筑与水利引用本文复制引用
苏国韶,钱坤..人工蜂群算法在重力坝断面优化设计中的应用[J].计算机工程与应用,2011,47(11):223-225,248,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.50809017) （the National Natural Science Foundation of China under Grant No.50809017）
中国博士后科学基金资助项目(No.20080440812,No.200902354). （No.20080440812,No.200902354）
