摘要
采用蚁群算法实现了体能测试时间的优化安排,并对原始蚁群算法进行了改进,提出了改进的选择策略和信息素调整准则,有效地提高了算法的收敛速度和解的性能;最后用计算机对实例进行了计算,取得了较好的结果。
The optimal schedule of physical fitness test can be performed by ant colony algorithm, furthermore, improved one which provides adaptively selecting strategy and adaptively adjusting criterion. The new algorithm can find better path at higher convergence speed. Finally instances are researched and preferable results are obtained by computer.
出处
《上海第二工业大学学报》
2009年第2期110-113,共4页
Journal of Shanghai Polytechnic University
基金
上海高校选拔培养优秀青年教师科研专项基金资助项目(No.SLX306002)
关键词
蚁群算法
选择策略
信息素调整准则
ant colony algorithm
selecting strategy
adjusting criterion
