A consistent heuristic helps A* find the optimal path. 一致性启发式能帮助 A* 找到最优路径。
Because the heuristic is consistent, the algorithm never needs to reopen a closed node, which makes the implementation simpler and often faster in practice. 由于该启发式是一致的,算法通常不需要重新打开已关闭的节点,这使实现更简单,并且在实践中往往更快。
Peter E. Hart, Nils J. Nilsson, Bertram Raphael (1968), A Formal Basis for the Heuristic Determination of Minimum Cost Paths(A* 经典论文;讨论与“单调/一致”相关的启发式条件,现代教材常用“consistent heuristic”术语概括该性质)
Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach(《人工智能:一种现代方法》;在启发式搜索章节中系统讲解一致性/单调性与 A* 的关系)
Judea Pearl, Heuristics: Intelligent Search Strategies for Computer Problem Solving(《启发式:智能搜索策略》;对启发式性质与最优搜索有深入讨论)