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优化蚁群算法在电缆敷设中的应用
Application of Ant Colony Optimization Algorithm in Cable Laying
【摘要】 针对传统蚁群算法应用于电缆敷设时,容易陷入局部最优,收敛速度慢等问题,将算法中信息素影响因子和能见度影响因子更新方式改为分阶段动态更新,再结合狼群分配策略,达到提高算法全局性、提高算法收敛速度的目的。研究结果表明,优化的蚁群算法在三维工厂设计管理系统的电缆敷设中得到实际应用,并在局部最优和收敛速度方面有了一定改进。
【Abstract】 In order to solve the problems of local optimization and slow convergence when the traditional ant colony algorithm is applied to cable laying,the updating mode of pheromone and visibility influencing factors in the algorithm is changed to dynamic updating in stages,and then combined with the wolf colony allocation strategy,the global performance of the algorithm and the convergence speed are improved.The results show that the optimized ant colony algorithm has been applied in the cable laying of Plant Design management system,and has some improvement in local optimization and convergence speed.
【Key words】 ant colony algorithm; cable laying; wolf group allocation strategy; influence factor; PDMS;
- 【文献出处】 青岛大学学报(自然科学版) ,Journal of Qingdao University(Natural Science Edition) , 编辑部邮箱 ,2020年03期
- 【分类号】TP18;TM752
- 【被引频次】1
- 【下载频次】71