Dijkstra’s algorithm is great as long as we have no negative weight edges in our graph. But there are many problems for which it is natural to represent weights with positive and negative values—gains ...

Computer science pioneer Edsger Dijkstra’s algorithms form the backbone of many computer subroutines, thanks to their elegant efficiency. However, seemingly subtle changes in requirements can lead to ...

Abstract: Randomized Greedy Algorithms (RGAs) are interesting approaches incorporating the random processes into the greedy algorithms to solve problems whose structures are not well understood as ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

Computer Science subject module at Roskilde University. Was made as part of a 15ETCS course where we applied Different Pathfinding strategies to solve shortest path problem. Contains Dijkstra and A* ...

Computer Science subject module at Roskilde University. Was made as part of a 15ETCS course where we applied Different Pathfinding strategies to solve shortest path problem. Contains Dijkstra and A* ...

Greedy Best-First Search versus Best-First SearchTo assess how the performance of greedy best-first search compares to conventional best-first search, we ran tests across a range of planning domains ...