CAJ | 학술논문

文章针对当前蚁群算法存在的问题，综合考虑局部和全局对车辆选择路径方式的影响，以及人工蚂蚁选择路径方式的多样性；通过改进蚁群算法转移概率和启发式因子，使每只人工蚂蚁随机地选择属于自己的行为规范，将蚁群进一步智能化，建立了基于混合机制智能化的蚂蚁算法。仿真实验结果表明，改进的混合行为蚁群算法是有效的。
문장침대당전의군산법존재적문제，종합고필국부화전국대차량선택로경방식적영향，이급인공마의선택로경방식적다양성；통과개진의군산법전이개솔화계발식인자，사매지인공마의수궤지선택속우자기적행위규범，장의군진일보지능화，건립료기우혼합궤제지능화적마의산법。방진실험결과표명，개진적혼합행위의군산법시유효적。
In view of the problem of the current ant colony optimization (ACO) ,the effect of global and local route on vehicle route choosing and the diversity of choosing ways are considered .By improving ACO’s pheromones and heuristic factor ,every ant can select its behavior rules randomly ,the ant col-ony is intelligentialized ,and the ACO based on mixing mechanism is established .The results of simu-lation experiment indicate that the modified ACO with mixing behavior is effective .