![Artificial intelligence / Search algorithms / Network theory / Combinatorial optimization / Routing algorithms / Pathfinding / A* search algorithm / Shortest path problem / Heuristic function / Mathematics / Game artificial intelligence / Graph theory Artificial intelligence / Search algorithms / Network theory / Combinatorial optimization / Routing algorithms / Pathfinding / A* search algorithm / Shortest path problem / Heuristic function / Mathematics / Game artificial intelligence / Graph theory](https://www.pdfsearch.io/img/c7fccfcc358a82cdbcb9ccc040ccd991.jpg)
| Document Date: 2010-01-10 09:34:29 Open Document File Size: 132,17 KBShare Result on Facebook
City Los Angeles / Tulsa / New York / / Company ABCD Level 2 AB / nodes AB / MultiAgent Systems / / / Event Natural Disaster / / Facility By building / When building / After building / University of Alberta Edmonton / / IndustryTerm benchmark algorithm / search costs / admissible tree search / partial pathfinding algorithm / search problem / partial solutions / search space / search algorithm / Real-time heuristic search / abstractable search problem / feasible solutions / search methods / search algorithms / / Organization Michael Buro Department of Computing Science / American Association for Artificial IntelliCopyright / University of Alberta Edmonton / / Person Alberta Edmonton / Markus Enzenberger / Nathan Sturtevant / Michael Buro / / / Position minimal exec. / / ProvinceOrState Alberta / / Technology RAM / ca Abstract Classical search algorithms / artificial intelligence / search algorithm / search algorithms / partial pathfinding algorithm / PRA* algorithm / caching / Search The QuickPath algorithm / simulation / benchmark algorithm / / URL http /
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