Sky-A* Algorithm for Artificial Intelligence
Mohd. Junedul Haque1, Rakesh Ahuja2
1Mohd. Junedul Haque*, CUIET, Chitkara University, Punjab, India.
2Rakesh Ahuja*, CUIET, Chitkara University, Punjab, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5295-5297 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7470118419/2019©BEIESP | DOI: 10.35940/ijrte.D7470.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We have discussed variant of informed search in this paper like A* search. The informed search algorithm is developed to run in given limited memory by use of heuristic knowledge with retraction methods. We introduce the sky-A* algorithm for solving shortest path between two nodes. The sky-A* algorithm developed a logic by which the obligatory nodes like A* can extend and return the optimal result joining the nodes. In addition, the method sky-A* is guaranteed to return an optimal path when heuristic information used. We present a number of different methods for both low and high level procedures and analysis their results and performance. Proposed algorithm provides accurate combination of surroundings of video segments in situations when camera movements are complex.
Keywords: Nodes, Algorithms, Heuristic, State, Real Time Strategy (RTS), Segmentation, Restoration.
Scope of the Article: Data Analytics Modelling and Algorithms.