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Metaheuristic Algorithm for Robotic Path Planning

Yogita Gigras, Kusum Gupta

发表年份
2014
引用次数
12
访问权限
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摘要

This paper presents a metaheuristic optimization algorithm for mobile robot path planning problem. A comparative study between particle swarm and ant colony optimization algorithm is conducted. The experimental study shows that the ant colony optimization algorithm outperforms over particle swarm optimization in terms of computational time.

关键词

Computer sciencePath (computing)MetaheuristicMotion planningArtificial intelligenceAlgorithmOperations researchRobotComputer networkMathematics

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