为了更加有效解决水利工程项目管理中的多目标决策问题，提出了一种改进蚁群算法。该算法首先利用遗传算法的全局搜索能力将信息素初始化，然后在算法进行遍历过程中引入变异操作和交叉操作，提高算法的鲁棒性和有效性。水利工程项目多目标优化案例分析表明，较传统遗传算法和蚁群算法，本文提出的方法对于解的寻找速度更快，解的质量更高，该算法具有较高的全局寻优能力。该研究为水利工程项目管理多目标决策问题的解决提供了一种新的思路和方法。

In order to improve the multiobjective decision effectively in water conservancy project management,an improved ant colony optimization algorithm was proposed.In this algorithm,pheromone was initialized using the global search ability of genetic algorithm,and the mutation operation and crossover operation were introduced to improve the efficiency of the optimal solution.Engineering case study showed that the improved algorithm can quickly converge to achieve optimal solution and guarantee the quality of solution.In comparison with the genetic algorithm and ant colony algorithm,it has better optimization ability for multi objective decision making problem.This study provides a new method for water conservancy project management.

浙江省2016年度水利厅水利科技项目（RC1620）；河北省自然科学基金（E2012402030）