Nakamura Makoto
Motion Path Searches for Maritime Robots
        Journal of National Fisheries University Volume 59 Issue 4
        Page 245-252
        
    published_at 2011-03
            Title
        
        海洋作業ロボットの移動経路探索
        Motion Path Searches for Maritime Robots
        
    
        
            Source Identifiers
        
                    [PISSN] 0370-9361
    
    
            Creator Keywords
        
            Robots
            Routing
            Path
            Search
            Genetic Algorithms
    A method based on genetic algorithms was investigated for its capability to identify efficient paths for maritime robots. Data for determining robot motion from information obtained in map form regarding regions with topographical features or other obstacles in the control volume, such as structures or navigational markers, or dangerous regions containing such features as ocean currents, tidal currents, or wind, which increase energy consumption and travel time, were encoded as genes. The fitness values of the procedure for finding the optimal motion path after evolution of the population were observed. The motion path was divided into a rectilinear array and 120-bit genes containing motion data as bit information were constructed. A criterion for assessing each gene was calculated from the route length and penalty value and used as the fitness value. The optimal solution was then searched for by driving the evolution of the travel-pattern population. This study generated information about the basic characteristics and the effectiveness of the proposed procedure.
        
        
            Languages
        
            eng
    
    
        
            Resource Type
        
        departmental bulletin paper
    
    
        
            Publishers
        
            National Fisheries University
    
    
        
            Date Issued
        
        2011-03
    
    
        
            File Version
        
        Version of Record
    
    
        
            Access Rights
        
        open access
    
    
            Relations
        
            
                
                
                [ISSN]0370-9361
            
    
