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Path Planning Algorithm Using the Particle Swarm Optimization and the Improved Dijkstra Algorithm

Hwan Il Kang, Byunghee Lee, Kab-Il Kim

发表年份
2008
引用次数
103

摘要

In this paper, we develop the path planning algorithm using the improved Dijkstra algorithm and the particle swarm optimization. To get the optimal path, at first we construct the MAKLINK on the world environment and then make a graph associated with the MAKLINK. From the graph, we obtain the Dijkstra path between the starting point and the destination point. From the optimal path, we search the improved Dijkstra path using the graph. Finally, applying the particle swarm optimization to the improved Dijkstra path, we obtain the optimal path for the mobile robot. It turns out that the proposed method has better performance than the result [1].

关键词

Dijkstra's algorithmYen's algorithmSuurballe's algorithmParticle swarm optimizationShortest path problemAlgorithmPathfindingComputer sciencePath (computing)Mathematical optimization

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