Volcanic Pathfinding: Legazpi's Algorithm Challenge

Описание: Learn more about these algorithms:
A-Star Algorithm: https://researchdatapod.com/a-star-al...
Dijkstra's Algorithm: https://researchdatapod.com/dijkstras...

This pathfinding visualization shows Time-Optimized Dijkstra and Time-Optimized A* finding the fastest route around Mayon Volcano in Legazpi City, Philippines - demonstrating how heuristic guidance dramatically affects search efficiency while finding the exact same optimal path.

Time Optimization: Both algorithms prioritize travel time over distance, navigating around the active volcano to find the fastest route - exactly how modern GPS navigation works.

Dijkstra: No heuristic guidance - explores exhaustively in all directions, checking 11,118 edges (91% of the network) to guarantee the fastest route.
A-Star: Uses straight-line distance to guide search toward the goal, finding the same fastest route while only checking 4,626 edges (37% of the network).

Both find identical results: 63.3 km route taking 57 min 41 sec
Watch how the red pathfinding spreads around Mayon Volcano at vastly different rates, with A* achieving 58% fewer explorations than Dijkstra's exhaustive search.

Music credit: E J R M - Transcendence (Artlist)

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