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Multi-Heuristic A*

Sandip Aine, Siddharth Swaminathan, Venkatraman Narayanan, Victor Hwang, Maxim Likhachev

发表年份
2014
引用次数
13

摘要

We present a novel heuristic search framework, called Multi-Heuristic A* (MHA*), that simultaneously uses multiple, arbitrarily inadmissible heuristic functions and one consistent heuristic to search for complete and bounded suboptimal solutions. This simplifies the de- sign of heuristics and enables the search to effectively combine the guiding powers of different heuristic func- tions. We support these claims with experimental results on full-body manipulation for PR2 robots.

关键词

HeuristicsHeuristicConsistent heuristicIncremental heuristic searchComputer scienceNull-move heuristicMathematical optimizationSign (mathematics)Hyper-heuristicBounded function

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