Title : 
  
 —A Memory-Bounded Anytime Heuristic-Search Algorithm
 
         
        
            Author : 
Vadlamudi, S.G. ; Aine, S. ; Chakrabarti, P.P.
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
         
        
        
        
        
            fDate : 
6/1/2011 12:00:00 AM
         
        
        
        
            Abstract : 
This paper presents a heuristic-search algorithm called Memory-bounded Anytime Window A*(MAWA*), which is complete, anytime, and memory bounded. MAWA* uses the window-bounded anytime-search methodology of AWA* as the basic framework and combines it with the memory-bounded A* -like approach to handle restricted memory situations. Simple and efficient versions of MAWA* targeted for tree search have also been presented. Experimental results of the sliding-tile puzzle problem and the traveling-salesman problem show the significant advantages of the proposed algorithm over existing methods.
         
        
            Keywords : 
problem solving; travelling salesman problems; tree searching; memory bounded anytime heuristic search algorithm; memory bounded anytime window A; sliding tile puzzle problem; traveling salesman problem; tree search; Algorithm design and analysis; Cybernetics; Data structures; Heuristic algorithms; Memory management; Search problems; Anytime search; heuristic search; limited-memory search; Algorithms; Artificial Intelligence; Computer Simulation; Decision Support Techniques; Models, Theoretical; Pattern Recognition, Automated;
         
        
        
            Journal_Title : 
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TSMCB.2010.2089619