Performance comparison of search algorithms based on eight puzzle problem
Jun Zhang
Abstract
Jun Zhang
Abstract
The essential of search algorithrns is the establishment of search strategies.Traditional search algorithms use strategies without information guidance,such as the depth-first search(DFS)and the breadth-first search(BFS).Modern search algorithms use strategies with the guidance of information,which are called heuristic search algorithms,e.g.the A~* algorithm,different search strategies will make the performance of the algorithms varies considerably.With the using of DFS,BFS and A~* algorithm to solve the eight puzzle problem,the performance of these algorithms is analyzed,and simultaneously indicates the feature of them,while at last show the analytic conclusion on the purpose of giving the direction to develop and use more efficient search strategies.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The essential of search algorithrns is the establishment of search strategies.Traditional search algorithms use strategies without information guidance,such as the depth-first search(DFS)and the breadth-first search(BFS).Modern search algorithms use strategies with the guidance of information,which are called heuristic search algorithms,e.g.the A~* algorithm,different search strategies will make the performance of the algorithms varies considerably.With the using of DFS,BFS and A~* algorithm to solve the eight puzzle problem,the performance of these algorithms is analyzed,and simultaneously indicates the feature of them,while at last show the analytic conclusion on the purpose of giving the direction to develop and use more efficient search strategies.
Key concepts: Computer science, Best-first search, Search algorithm, Incremental heuristic search, Beam search, Beam stack search, Breadth-first search, Bidirectional search