多Agent层次任务分配方法  

Leveled task allocation method for multiple agents

作　　者：陶雪丽[1] 郑延斌[1] 

机构地区：[1]河南师范大学计算机与信息工程学院,河南新乡453007

出　　处：《计算机工程与设计》2013年第5期1797-1801,共5页Computer Engineering and Design

基　　金：河南省重点科技攻关基金项目(102102210179;102102210176;122102210086);河南省教育厅自然基金项目(2011B520022)

摘　　要：提出了一种层次任务分配方法,用于解决动态环境中的任务分配问题。利用全局分配方法为Agent分配合适的任务,当环境发生变换时,通过局部调整来解决任务和Agent之间的匹配问题,使得每个Agent能够根据局部信息选择理想的任务来执行,提高了分配算法的鲁棒性和多Agent整体效用。仿真实验结果表明,该方法是可行且有效的,能够解决动态环境中的任务分配问题。A level task allocation method is proposed to solve the problem of task allocation in dynamic environment. Appropriate tasks are allocated to agent by using the global allocation method. When the environment changes, the matching issues among tasks and agents are solved through local adjustment, which makes each agent be able to choose desired task to be performed according to local information, so the robustness and multi-agent overall utility of the allocation algorithm are improved. Simulation results show that the method is feasible and effective to solve the task allocation problem in dynamic environment.

关 键 词：多AGENT 任务分配 能力 调整 效用 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]