Title : 
Path planning for multiple robotic fish based on multi-objective cooperative co-evolution algorithm
         
        
            Author : 
Yang, Tianhe ; Jiang, Yulian
         
        
            Author_Institution : 
Institute of Electrical and Information Engineering, Southwest University for Nationalities, Chengdu, China
         
        
        
        
        
        
            Abstract : 
Path planning method of multiple robotic fish is proposed in this paper, based on the multi-objective cooperative co-evolution algorithm. Considering the particularity of robotic fish´s movement, part of initial subgroups are heuristically generated by the initial yaw angle and the coordinates of robotic fish and the target points, so that the planned path better conforms to the requirements of robotic fish´s movement. The coordination strategies among multiple robotic fish are given. Simulation proves the algorithm better suits the movement particularity of robotic fish and effectively improves the adaptive and overall coordination capability of robotic fish.
         
        
            Keywords : 
Collision avoidance; Marine animals; Optimization; Path planning; Planning; Robot kinematics; co-evolution; multi-objective optimization; path planning; robotic fish;
         
        
        
        
            Conference_Titel : 
Computer Science & Education (ICCSE), 2015 10th International Conference on
         
        
            Conference_Location : 
Cambridge, United Kingdom
         
        
            Print_ISBN : 
978-1-4799-6598-4
         
        
        
            DOI : 
10.1109/ICCSE.2015.7250304