...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Industrial Electronics >Intelligent Decision Making and Bionic Movement Control of Self-Organized Swarm
【24h】

Intelligent Decision Making and Bionic Movement Control of Self-Organized Swarm

机译：自组织群体的智能决策和仿生运动控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this article, we propose the intelligent decision making and bionic movement control of self-organized swarm. Swarm intelligent decision making can provide swarm path planning. Bionic movement control of self-organized swarm can simultaneously generate swarm formation, realize formation switching, and drive swarm while avoiding collision and preserving the existing communication topology. When the swarm topology switches, the swarm intelligent decision making is introduced to find out the optimal route between the initial position and destination for each intelligent unit. We propose an enhanced genetic algorithm (GA) to realize swarm intelligent decision making. Avoiding collision and preserving the existing communication topology should be achieved during the process of swarm moving. As a result, we design a new swarm motion potential function, which can realize bionic movement control. The stability of bionic movement control is proved to be effective in the collision avoidance, connectivity preservation, and formation generation. Simulation results and experiment results show that the enhanced GA and swarm motion potential function are effective.
机译：在本文中，我们提出了自组织群的智能决策和仿生运动控制。群体智能决策可以提供群体路径规划。自组织群的仿生运动控制可以同时产生群体形成，实现形成切换，并在避免碰撞并保留现有通信拓扑的同时驱动群。当Swarm拓扑交换机时，介绍了Swarm智能决策，以找出每个智能单元的初始位置和目的地之间的最佳路由。我们提出了一种增强的遗传算法（GA）来实现群体智能决策。在群体移动过程中，应避免碰撞和保留现有的通信拓扑。因此，我们设计了一种新的群体运动潜在功能，可以实现仿生运动控制。证明仿生运动控制的稳定性在碰撞避免，连通性保存和形成生成中是有效的。仿真结果与实验结果表明，增强的GA和群体运动潜能功能是有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号