人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
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多状態実時間両方向探索
越野 亮村田 裕章白山 政敏木村 春彦
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ジャーナル フリー

2004 年 19 巻 1 号 p. 68-72

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This paper presents Multi-State Real-Time Bidirectional Search (MSRTBS), a method that improves the efficiency of the heuristic search algorithm for finding approximate solutions. Real-Time A* (RTA*) is a representative heuristic search algorithm for finding approximate solutions. The Multi-State Commitment (MSC) method was introduced into RTA* and dramatically improved the performance in problems such as the N-puzzle. As well, Real-Time Bidirectional Search (RTBS) also improved RTA* by changing a unidirectional search into a bidirectional one. This paper proposed a method that introduces MSC into RTBS. The experimental results showed that compared with RTBS and MSC our proposed method, MSRTBS, improved executed time and solution quality in the N-Puzzle.
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© 2004 JSAI (The Japanese Society for Artificial Intelligence)
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