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Path Finding Algorithms

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1286))

Abstract

In this survey we have compared five different path finding algorithms, namely, Dijkastra’s algorithm, A* Search, Greedy Best First Search, Breadth First Search and Depth First Search on the basis of the following criteria: Complexity: It refers to the rate at which the execution time grows with respect to the input size. Reliability: It refers to whether the algorithm is able to guarantee the shortest path. Weighted/unweighted: Some algorithms are not suited for weighted graphs and thus have a major limitation. Their respective advantages and disadvantages have also been discussed.

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References

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  2. Heusner, M., Keller, T., Helmert, M.: Best-case and worst-case behaviour of greedy best-first search (2018)

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  3. Cui, X., Shi, H.: A*-based Pathfinding in Modern Computer Games (2011)

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Correspondence to Mayank Mani .

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ashish, D.D.V.S., Munjal, S., Mani, M., Srivastava, S. (2021). Path Finding Algorithms. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1286. Springer, Singapore. https://doi.org/10.1007/978-981-15-9927-9_33

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