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基于蚁群算法的仿真机器鱼的行动决策策略

Action Decision Strategy of Simulation Robot Fish Based on Ant Colony Algorithm
作者:Xuqiong YangXuelei JiaYansong Deng 作者单位:Institute of Electrical and Information Engineering,Southwest University for Nationalities of China,Chengdu,Sichuan,610041,P.R.China 加工时间:2014-04-02 信息来源:科技报告(Other) 索取原文[6 页]
关键词:光机电;机器人;模拟机器鱼;蚁群算法;行动决策;
摘 要:In order to achieve the quick and accurate adjustment of the robot fish,there are two plans,which are based on ant-colony-algorithm movement strategy.These plans are aimed at 2D robot fish in the ant colony algorithm,and the key judgment of the robot fish relies on the branches of physic matters,together with the best match of the fish in its current speed.However,according to the dynamic algorithm project,the feedback of dynamic variable movement can process adjustment automatically.In every period,these two examples by which the 2D Simulation results show the robot fish can be adjusted on the policy path.To achieve optimal combination of speed and direction,the shortest time has a strong ability to adapt effectively to meet the simulation of robot fish or action of the action decision-making.
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