应用遗传算法的多机器人协调动作学习  

COOPERATIVE BEHAVIOR LEARNING OF ROBOTS BY USING GA

作　　者：苏素珍 土屋喜一 

机构地区：[1]日本早稻田大学

出　　处：《机器人》1995年第2期89-92,共4页Robot

摘　　要：本文力图做出的系统是应用遗传算法使多机器人学习可以动作协调而总体实现最多的搬运，多机器人移动的环境采用图表表示，移动的规则是用遗传算法优化制订的．在两预定结点之间的往返次数取为适合度．用计算机构造环境并进行仿真．结果表明多机器人协调动作学习时可视情况需要而互相让路．It was tried to make a multi-robot cooperative system,which is learned by the genetic algo-rithm,to carry out maximum conveyance. The environment in which the multi-robot movement is carried out is expressed as a graph.The rule of movement is coded and optimized by the genetic algorithm. The times of reciprocating between two nodes that were specified beforehand are taken as the fitness.The environment was constructed on a computer, and the simulation was carried out.As the result of behavior learning the multi-robots give way mutually as circumstance demand.

关 键 词：遗传算法 机器人 多机器人协调 

分 类 号：TP249[自动化与计算机技术—检测技术与自动化装置]