An Optimized Hybrid Approach for Path Finding

April 09, 2015 Β· Declared Dead Β· πŸ› IEEE Annual Symposium on Foundations of Computer Science

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Ahlam Ansari, Mohd Amin Sayyed, Khatija Ratlamwala, Parvin Shaikh arXiv ID 1504.02281 Category cs.AI: Artificial Intelligence Citations 16 Venue IEEE Annual Symposium on Foundations of Computer Science Last Checked 3 months ago
Abstract
Path finding algorithm addresses problem of finding shortest path from source to destination avoiding obstacles. There exist various search algorithms namely A*, Dijkstra's and ant colony optimization. Unlike most path finding algorithms which require destination co-ordinates to compute path, the proposed algorithm comprises of a new method which finds path using backtracking without requiring destination co-ordinates. Moreover, in existing path finding algorithm, the number of iterations required to find path is large. Hence, to overcome this, an algorithm is proposed which reduces number of iterations required to traverse the path. The proposed algorithm is hybrid of backtracking and a new technique(modified 8- neighbor approach). The proposed algorithm can become essential part in location based, network, gaming applications. grid traversal, navigation, gaming applications, mobile robot and Artificial Intelligence.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Artificial Intelligence

Died the same way β€” πŸ‘» Ghosted