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以滚动优化策略的粒子群算法为基础的机器人路径规划研究 被引量:1

Study of robot path planning based on particle swarm optimization of horizon optimization strategy
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摘要 介绍了一种基于滚动优化策略的粒子群算法的机器人路径规划,在每一个滚动窗口中,应用粒子群算法进行局部路径规划,寻求一条最优路径。仿真实验证明了该方法的可用性和有效性。 This parper introduce a kind of robot path planning based on particle swarm optimization of rolling strategy. Within each rolling window, particle swarm optimization is applied to carry out local path planning, and find a best path. The simulation results validate the availability and effectiveness of this method.
出处 《信息化纵横》 2009年第8期17-19,共3页
关键词 滚动优化策略 滚动窗口 粒子群算法 路径规划 horizon optimization strategy rolling window particle swarm optimization path planning
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  • 1SALAZAR L M.ROWE J E.Particle swarm optimization and fitness sharing to solve multi-objective optimization problems. Congress on Evolutionary Computation(CEC'2005).2005,(2). 1204-1211.
  • 2BISCHOFF M, KLAMROTH K.An efficient solution method for Weber problems with barriers based on genetic algorithm s[J].European Journal of Operational Research.2007,177(1): 22-41.
  • 3MONSON C K, SEPPI K D. Adaptive Di-versity in PSO[C].GECCO'06,2006.
  • 4COELLO C,PULIDO G,LECHUNGA M.Handling multiple objectives with particle swarm optimization[J].IEEE Transactions on Evolutionary Computation.2004,8(3):256-257.

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