Energy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems
作者: Lingying WuAyumi SugiyamaToshiharu Sugawara
作者单位: 1Department of Computer Science and Communications Engineering, Waseda University, Tokyo 1698555, Japan
刊名: Procedia Computer Science, 2019, Vol.159 , pp.465-474
来源数据库: Elsevier Journal
DOI: 10.1016/j.procs.2019.09.201
关键词: Multi-agent systemsContinuous patrollingLearningCooperationEnergy efficiency
原始语种摘要: Abstract(#br)Whereas research of the multi-agent patrolling problem has been widely conducted from different aspects, the issue of energy minimization has not been sufficiently studied. When considering real-world applications with a trade-off between energy efficiency and level of perfection, it is usually more desirable to minimize the energy cost and carry out the tasks to the required level of quality instead of fulfilling tasks perfectly by ignoring energy efficiency. This paper proposes a series of coordinated behavioral strategies and an autonomous learning method of target decision strategies to reduce of energy consumption on the premise of satisfying quality requirements in continuous patrolling problems by multiple cooperative agents. We extended our previous method of target...
全文获取路径: Elsevier  (合作)

  • Energy 能量
  • consumption 消耗
  • learning 学识
  • efficiency 效率
  • reduce 减少
  • quality 品质
  • patrolling 巡逻
  • trade 买卖
  • level 水准
  • decision 决定