文章将蚁群算法应用于计划调度的工期-费用优化问题之中，得到一种精确、全面，求解效率高的优化方法。
The paper applies ant colony algorithm to network planning time-cost optimization problems, thereby getting a accurate, comprehensive and efficient solution optimization method.
工程施工中安全、质量、费用及工期的综合优化，在许多情况下需要涉及权重的确定，但权重值常很难精确确定，具有不确定性。
Weighted value of safety quality cost time in most cases must be regarded for trade-off optimization, but it is difficult to be determined for its uncertainties.
本文对网络计划的时间费用优化寻求最优工期的问题，提出了一种改进的优化方法。
This article gives a improved method of seeking for optimum time-cost in CPM.
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