【摘要】 为解决项目活动时间安排不合理、经费开销大的问题，提出了一种基于导向交叉机制的改进差分进化算法（DirDE）。导向交叉机制通过引导种群的全局搜索和局部开发方向提升算法收敛速度。同时，该机制基于父母个体的基因导向交叉帮助算法跳出局部搜索，避免陷入局部最优。实验部分设计了基准函数实验验证DirDE算法的寻优能力。实验分析结果展示，DirDE表现出更好的收敛性、精度及避免陷入局部最优的能力。最后，本文方法在真实的多项目党务活动调度优化线性规划模型上进行模拟实验，算法展现出竞争力，可作为现实党务活动调度问题求解的有效工具。更多还原

【Abstract】 To address the issues of unreasonable project activity scheduling and high expenditure, this paper proposes an improved differential evolution algorithm based on directional crossover mechanism(DirDE). The mechanism enhances the algorithm’s convergence speed by guiding the global exploration and local exploitation directions of the population. Meanwhile, this mechanism helps the algorithm jump out of the local search and avoid falling into the local optimum based on the gene guidance of the parent individuals. In the experimental section, benchmark function experiments are designed to verify the optimization ability of the DirDE. The experimental analysis results demonstrate that DirDE exhibits better convergence, accuracy, and the ability to avoid falling into local optima. Finally, the method proposed in this paper was tested through simulation experiments on a real-world linear programming model for multi-project party affairs activity scheduling optimization. The algorithm demonstrated its competitiveness and can serve as an effective tool for solving real-world party affairs activity scheduling problems.更多还原