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.
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
关键词
佳点集遗传算法
足球机器人
策略
good- point set genetic algorithrn
soccer robot
stra
egy
