摘要
在借鉴文献[1]基本思想的基础上,改进了蚁群算法搜索策略,该策略能提高搜索过程的效率以及搜索状态的多样性和随机性,为蚁群算法应用于实际优化问题提供了一条可行途径.数值算例结果表明本文的搜索策略能较好地找到近似全局最优解,是一种有效的近似方法.
By reference of the basic modal of literature \, an explorative strategy is improved on ant colony algorithm. This new strategy can promote the efficiency, the diversify and the stochasty of exploration process. A feasible way is presented for applying the ant colony algorithm to practice. The numerical results demonstrates that the approximate optimization result for whole domain can be available efficiently.
出处
《应用基础与工程科学学报》
EI
CSCD
2003年第3期223-229,共7页
Journal of Basic Science and Engineering
基金
杭州师范学院科研基金重点项目(项目编号:2003XNZ05)
关键词
多维函数
优化
蚁群算法
模拟进化算法
转移概率
ant colony algorithm
simulated evolutionary algorithm
transition probability
multidimensional function optimization
