AN EVOLUTIONARY COMPUTATION APPROACH TO GROUP BEHAVIOR ACQUISITION IN AUTONOMOUS ROBOTS
YANG Jie1, WU Jianbing2, WU Yuehua1, LIU Jiming3, HE Duohui2
1. Dept. of Precision Machinery, University of Science and Technology of China, Hefei 230026; 2. National Synchrotron Radiation Lab; 3. Hong Kong Baptist University
杨杰, 吴建兵, 吴月华, 刘际明, 何多慧. 自主式机器人群体行为的进化计算实现[J]. 机器人, 1999, 21(1): 34-39,80..
YANG Jie, WU Jianbing, WU Yuehua, LIU Jiming, HE Duohui. AN EVOLUTIONARY COMPUTATION APPROACH TO GROUP BEHAVIOR ACQUISITION IN AUTONOMOUS ROBOTS. ROBOT, 1999, 21(1): 34-39,80..
Abstract：This paper attempts to show the interrelationship between the autonomy of individual mobile robots and the evolution of their group behavior.Towards this end,we demonstrate how a genetic algorithm can be applied to evolve some globally optimal group behavior among autonomous robots,by way of selecting the appropriate sensory and behavioral parameters as well as specific task configurations.
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