SWARM
Metaheuristic Algorithm for Robotic Path Planning
Yogita Gigras, Kusum Gupta
- 发表年份
- 2014
- 引用次数
- 12
- 访问权限
- 开放获取
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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