Informed Search

Informed search tries to reduce the amount of search that must be done by making intelligent choices for the nodes that are selected for expansion.

Parameters

  • bb: branching factor (the average number of successors per state)
  • dd: the depth of the solution (the shortest path)
  • nn: total number of nodes

Related Problems


Filters

Computational Model

Randomization

Approximation

Algorithms Table

Displaying 19 of 19 algorithms

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Jump Point Search (JPS)2011O(bd)O(b^d)O(bd)O(b^d)
Block A*2011O(bd)O(b^d)O(bd)O(b^d)
Theta*2010O(bd)O(b^d)O(bd)O(b^d)
Time-Bounded A* (TBA*)2009O(bd)O(b^d)O(bd)O(b^d)
Fringe Saving A* (FSA*)2008O(bd)O(b^d)O(bd)O(b^d)
Generalized Adaptive A* (GAA*)2008O(bd)O(b^d)O(bd)O(b^d)
Bidirectional A* Algorithm2007O(b(d/2))O(b^{(d/2)})O(bd/2)O(b^{d/2})
Field D*2006O(bd)O(b^d)O(bd)O(b^d)
Anytime Repairing A* (ARA*)2005O(bd)O(b^d)O(bd)O(b^d)
Fringe2005O(bd)O(b^d)O(bd)O(b^d)
Anytime Dynamic A* (ADA*)2005O(b^d)O(b^d)
D* Lite2005O(b^d)O(b^d)
Focused D*2005O(b^d)O(b^d)
Lifelong Planning A* (LPA*)2001O(bd)O(b^d)O(bd)O(b^d)
D*1994O(bd)O(b^d)O(bd)O(b^d)
Simplified Memory-Bounded A* (SMA*)1992O(bd)O(b^d)O(bd)O(b^d)
Iterative Deepening A* (IDA*)1985O(bd)O(b^d)O(bd)O(b^d)
A* Algorithm1968O(bd)O(b^d)O(bd)O(b^d)
Greedy Best-First Search1959O(bd)O(b^d)O(bd)O(b^d)

Reductions Table

Insuffient Data to display table

Other relevant algorithms

Insuffient Data to display table