基于佳点集遗传算法的足球机器人策略设计  

Design of Soccer Robot Strategy Based on Good-Point Set Genetic Algorithm

作　　者：金奎[1] 程家兴[1] 李志俊[1] 饶玉佳[1] 

机构地区：[1]安徽大学计算机科学与技术学院,安徽合肥230039

出　　处：《计算机技术与发展》2008年第11期123-124,162,共3页Computer Technology and Development

摘　　要：为了优化足球机器人策略的设计,文中提出了一个基于佳点集遗传算法的足球机器人动作规划算法。首先定义一个足球机器人的动作集合,根据赛场的实际情况为足球机器人分配角色与任务,然后利用佳点集遗传算法为足球机器人选择合适的动作,用该算法进行截球实验和射门实验。实验结果表明,应用新算法的仿真足球机器人动作更准确,效果更佳。In order to optimize the strategy of soccer robot, a new soccer robot action planning algorithm based on GGA （Good- point Set Genetic Algorithm）is proposed. In the algorithm, a set of soccer robot actions is defined. Roles arid tasks are assigned to eyery soccer robot according to the situation of the game, and then, the good - point set genetic algorithm searches suitable action for every soccer robot. Experiments show that the soccer robots applied new algorithm own more accurate actions than others and takes better results.

关 键 词：佳点集遗传算法 足球机器人 策略 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]