摘要
任务分配是MAS中非常重要的研究热点之一,任务的有效分配直接影响到整个MAS的工作效率。在粒子群优化算法相关研究的基础上,引入精英策略和遗传算法中基因交叉操作的理念,探讨了一种基于多目标混合粒子群算法的任务分配机制。
Task allocation is an very important hotspot of study in MAS,the reasonable assignment of tasks affects the efficiency of the whole MAS directly.Based on the related research of PSO,elite strategy and crossover operation of GA were introduced into the Hybrid Particle Swarm Optimization.A task allocation strategies based on Hybrid Particle Swarm Optimization was proposed in this paper.
作者
张琰
包少彬
涂双平
杨卫星
ZHANG Yan;BAO Shaobin;TU Shuangping;YANG Weixing(Nanjing Panda Handatechnology Co.,Ltd.,Nanjing 210014,China;Nanjiang Military Region Information Security Team,Kashi 844200,China;Joint Logistics Support Force Stationed In A Reserve Brigade In Hunan,Hengyang 421216,China)
出处
《数字通信世界》
2020年第10期7-10,共4页
Digital Communication World
