Computational methods for systematically navigating problem spaces to find solutions, optimal paths, or goal states, employing strategies such as breadth-first, depth-first, heuristic-guided, or adversarial search to efficiently discover answers to complex problems.
Semantic Classification
Content
Inverse Relationships (Inferred by Reasoner)
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A-Star Algorithm is-subclass-of Search Algorithms
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Minimax Algorithm is-subclass-of Search Algorithms
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Monte Carlo Tree Search is-subclass-of Search Algorithms
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skos:related:: Optimization
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skos:related:: Graph Theory
Definition
Search algorithms are computational methods used to navigate through problem spaces to find solutions, optimal paths, or goal states. They systematically explore possible states and transitions, employing various strategies such as breadth-first, depth-first, heuristic-guided, or adversarial search to efficiently discover solutions to complex problems.
Categories
Uninformed Search:
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Breadth-first search (BFS)
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Depth-first search (DFS)
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Uniform cost search
Informed Search:
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Greedy best-first search
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A* algorithm
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Iterative deepening A*
Adversarial Search:
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Minimax
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Alpha-beta pruning
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Monte Carlo Tree Search
Local Search:
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Hill climbing
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Simulated annealing
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Genetic algorithms
Applications
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Route planning and navigation
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Game playing (chess, Go)
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Scheduling and resource allocation
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Puzzle solving
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Robotics path planning