近年来,群体智能优化方法愈来愈引起人们的关注,如粒子群算法、蚁群算法、蜂群算法等,它们是解决NP问题的有效工具。函数优化是优化领域的重要分支,主要通过将连续的变量(定义域)区间离散化,对这些离散变量的函数值最优编排、分组、排序或筛选等。这类问题通常随着变量区间的扩大及函数极值的增多, In recent years, the methods of population intelligent optimization have drawn more and more attention, such as particle swarm optimization, ant colony algorithm and bee colony algorithm, which are effective tools to solve the NP problem. Function optimization is an important branch of the optimization field, mainly by discretizing the continuous variable (domain) interval, the optimal arrangement, grouping, sorting or screening of the function values ​​of these discrete variables. Usually such problems with the expansion of the variable range and the extreme value of the function increases,