基于APO的群机器人目标搜索仿真系统设计Simulation Design for Swarm Robots Search System Based on Artificial Physics Optimization Algorithm
谢丽萍,周中余,张春梅,张宏丽
摘要(Abstract)：
针对群机器人目标搜索问题,采用拟态物理学优化算法作为群机器人的建模工具,参考优化个体间的引斥力规则建立机器人间的作用力规则,参考优化个体的质量函数构造有关机器人感知强度的虚拟质量函数,建立群机器人目标搜索模型。根据模型参数较多,要求查看群机器人搜索过程的特点,开发了基于拟态物理学优化算法的群机器人目标搜索仿真系统,实现了参数的灵活定制,动态演示群机器人搜索过程以及生成实验结果报表等功能。
关键词(KeyWords)： 拟态物理学;群机器人;目标搜索;虚拟力;仿真系统
基金项目(Foundation): 山西省青年科学基金(2011021014-1);; 太原科技大学博士启动基金(20112009);; 山西省UIT项目(2011254);; 太原科技大学UIT项目(XJ2010061)
作者(Author): 谢丽萍,周中余,张春梅,张宏丽
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