A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the classic algorithm taught in textbooks.

Pathfinding on grid maps is a cornerstone problem in robotics, autonomous navigation, and game development. Classical algorithms such as A*, Dijkstra’s, and Breadth-First Search (BFS) are known for ...

The additions include path finding algorithms, which are useful for tasks such as identifying the fastest delivery route between two stores. There’s now also support for egonet analysis.

This project simulates a student navigating the campus of Western University to reach Middlesex College — while avoiding dangerous geese, snow piles, and picking up books along the way! Built as part ...

Analyzing and Implementing Pathfinding Algorithms for Flight Route Planning in Java Abstract: “Flight route planning is a critical aspect of modern aviation, requiring optimization based on time and ...

Java 24 will introduce quantum-safe cryptography with ML-KEM and ML-DSA, addressing future security risks posed by quantum computing.

But a new proof shows that for the quintessential path-finding problem, one algorithm is close to ideal: Assuming worst-case traffic patterns, it’s the best approach on every possible street grid.

The main contribution of this paper aimed to improve the path planning of autonomous mobile robots in the indoor environment on the basis of the A star algorithm and offer a unique capability field ...