基于混沌粒子群算法的关键链项目进度管理研究

Critical chain project management based on chaos particle swarm optimization

应用混沌粒子群算法解决关键链项目管理的优化调度问题,并利用了混沌运动遍历性、随机性等特点,对传统粒子群算法进行改进,摆脱了粒子群算法后期易陷入局部极值点的缺点,并保持了前期搜索的快速性。通过实例证明,在求解该类问题上,混沌粒子群算法比基本粒子群算法更具有优势。

Using CSPO solved the optimal scheduling problem based on CCPM.And by making use of the characteristics of ergodicity and randomness of chaotic motion,the traditional PSO was improved.It got rid of the PSO＇s fault of falling into local extreme point and kept the pre-fast search.An example shows that in solving this issue,the CSPO method is better than the PSO method.