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Top 5 Pathfinding Algorithms
graphable.ai/blog/pathfinding-algorithms/Yapay zekadan makale özeti
- Introduction
- Pathfinding algorithms enable efficient navigation through complex environments
- Algorithms explore graphs to find optimal paths considering obstacles
- Various algorithms differ in approach and use of heuristic information
- Cycle Detection
- Finds loops in graphs by visiting nodes only once
- Uses depth-first search to mark visited nodes
- Prevents infinite loops in connected elements
- Dijkstra's Algorithm
- Calculates shortest path by evaluating each node
- Starts with distance 0 to starting node
- Selects node with smallest distance and adds to visited list
- A* Algorithm
- Uses heuristic function to estimate distance to destination
- Calculates starting point score including distance to current node
- Selects node with lowest score and adds to visited list
- Maximum Flow Algorithm
- Finds maximum flow through graph network
- Assigns capacities to node relationships
- Increases flow along path until no more paths exist
- Minimum Spanning Trees
- Finds shortest path connecting all nodes without loops
- Starts with decision tree and adds relationships with smallest weight
- Continues until all nodes are connected