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Application of Improved Dijkstra Algorithm in Two-dimensional Path Planning Problem
International Conference on Intelligent Information Processing, 2019The Dijkstra algorithm is a typical single-source shortest path algorithm for calculating the shortest path from one node to the other in a non-negative weight map, but its use of the roulette method greatly affects the node selection.
Ruifang Zhang, Tianyi Ji, Haitao Zheng
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Sustainable Computing: Informatics and Systems, 2022
Yulan Zhou, N. Huang
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Yulan Zhou, N. Huang
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A parallelization of Dijkstra's shortest path algorithm
1998The single source shortest path (SSSP) problem lacks parallel solutions which are fast and simultaneously work-efficient. We propose simple criteria which divide Dijkstra's sequential SSSP algorithm into a number of phases, such that the operations within a phase can be done in parallel.
Crauser, A. +3 more
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Dijkstra’s Algorithm – The Closest Look
2015Chapter 20 introduced Dijkstra’s algorithm. Here, we take a closer look at its workings, picking up the example we’ve been using of the airline flight plan. We use the algorithm to first determine the shortest among the links directly connected to the origin, so as to find the destination closest to it.
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ENHANCED HEAP FOR DIJKSTRA'S ALGORITHM
Abstract Success of min heap is because of its typical structure with parents containing values smaller than their children which makes them faster for sorting n elements in n time. This motivated Dijkstra to implement its ‘single source shortest path’ algorithm using min heap. However, one drawback of the min heap is its self-destructive nature thatANUBHAV KUMAR PRASAD, ARUNI SINGH
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Dijkstra’s Algorithm — The First Look
2015I’ll start the chapter with the description of Dijkstra’s algorithm from the Math Wiki site; it’s a very elegant description and one that is worth reading:
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Dijkstra algorithm in parallel- Case study
Proceedings of the 2015 16th International Carpathian Control Conference (ICCC), 2015This article aims to highlight the usefulness of improving classical algorithms by generating new approaches, efficiency or parallel execution time optimization at all costs. The reconsideration of classical algorithms, but in different testing conditions can help all products that rely on them.
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2024 2nd International Conference on Signal Processing and Intelligent Computing (SPIC)
To address the limitations of the traditional Dijkstra algorithm in two-dimensional path optimization problems, this article uses ant colony algorithm to optimize the Dijkstra algorithm, solving the limitations of the Dijkstra algorithm that requires ...
Heng Guo, Qingquan Liu, Zhihui Dang
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To address the limitations of the traditional Dijkstra algorithm in two-dimensional path optimization problems, this article uses ant colony algorithm to optimize the Dijkstra algorithm, solving the limitations of the Dijkstra algorithm that requires ...
Heng Guo, Qingquan Liu, Zhihui Dang
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On Dijkstra’s Algorithm for Deadlock Detection
2009We study a classical problem in operating systems concerning deadlock detection for systems with reusable resources. The elegant Dijkstra’s algorithm utilizes simple data structures, but it has the cost of quadratic dependence on the number of the processes.
Youming Li, Ardian Greca, James Harris
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Journal of Loss Prevention in the Process Industries, 2022
Jiyun Wang +3 more
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Jiyun Wang +3 more
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