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on the principles of heuristic search, relaxation, or approximation).
Heuristic search methods: Tabu search, simulated annealing, genetic algorithms.
The Heuristic Search Research Framework is a software framework for conducting studies of heuristic search algorithms.
A technique for improving heuristic search efficiency is presented.
We first present MM, a novel bidirectional heuristic search algorithm.
Heuristic search planners like hsp transform planning problems into problems of heuristic search by automatically extracting heuristics from Strips encodings.
This allows a more efficient heuristic search computation.
Its applicability to real-time heuristic search, a search approach that builds upon heuristic search, however, has only been explored by a few studies.
Applications of rule chaining, heuristic search, constraint propagation, constrained search, inheritance, and other problem-solving paradigms.
We believe that this research will enhance AI problem solving using parallel heuristic search algorithms.
We present a heuristic search approach to solve partial satisfaction planning (PSP) problems.
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