摘要
针对动态环境中的任务和Agent的动态变化问题,提出一种基于能力及任务需求的层次任务分配方法。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之间的不适应问题,每个Agent能够根据局部信息选择理想的任务执行,提高了分配算法的鲁棒性。仿真实验表明该方法是可行及有效的,能够解决动态环境中的任务分配问题。
This paper proposes a hierarchical task allocation which is based on the capability and mission requirements in light of the tasks in a dynamic environment and the dynamic variations of Agent.Using global allocation method to allocate appropriate tasks to Agent,and through local adjustment to solve the inadaptability problem between the task and Agent when the environment changes,every agent can select the desired task to do according to local information,and this improves the robustness of the allocation algorithm.Simulation experiments show that the method is feasible,and can effectively solve the task allocation problem in a dynamic environment.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第11期181-184,共4页
Computer Applications and Software
基金
河南省重点科技攻关项目(102102210179
102102210176
122102210086)
河南省教育厅自然科学基金项目(2011B520022)
关键词
多AGENT
任务分配
能力
调整
Multiple Agent Task allocation Capability Adjustment
