CAJ | 학술논문

通过对蚁群算法、加权策略、分布估算算法等进行研究和分析，首先提出将加权策略应用于蚁群算法的信息素更新，有效地提高了算法的全局收敛速度，然后将蚁群算法与分布估算算法进行融合，从而避免了由于信息素的正反馈机制而陷入局部最优的问题，仿真实验表明该算法在收敛速度及最优路径求解方面有较好的改进。
통과대의군산법、가권책략、분포고산산법등진행연구화분석，수선제출장가권책략응용우의군산법적신식소경신，유효지제고료산법적전국수렴속도，연후장의군산법여분포고산산법진행융합，종이피면료유우신식소적정반궤궤제이함입국부최우적문제，방진실험표명해산법재수렴속도급최우로경구해방면유교호적개진。
This paper studies and analyzes the ant colony algorithm, the weighted strategy, distribution estimation algorithm, first proposed updating weighted strategy applied to the pheromone of ant colony algorithm, effectively improve the global convergence of the algorithm, and then the fusion estimation algorithm, ant colony algorithm and distribution of avoiding the due to the positive feedback mechanism of pheromones into local optimal problem, the simulation experiments show that the algorithm in convergence speed and the optimal path has better improvement.