计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (32): 200-202.DOI: 10.3778/j.issn.1002-8331.2009.32.063
• 工程与应用 • 上一篇 下一篇
杨 惠，李 峰
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YANG Hui，LI Feng
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摘要： 为了克服粒子群算法和蚁群算法的缺陷，将改进的粒子群算法和蚁群算法进行融合，形成了PAAA算法，并将此算法应用于自主清洁机器人行为路径的仿真实验。结果表明：PAAA在求解性能上优于粒子群算法，在时间效率上优于蚁群算法。
关键词: 粒子群算法, 蚁群算法, 机器人路径
Abstract: In order to overcome the deficiencies of particle swarm optimization and ant colony algorithm，this paper integrates the improved particle swarm optimization and ant colony algorithm，formats the PAAA，this algorithm is applied to auto-cleaning robot simulation path.The results show that：PAAA superior performance in solving particle swarm optimization，in terms of time better than the ant colony algorithm efficiency.
Key words: particle swarm optimization algorithm, ant colony algorithm, robot path
中图分类号:
TP18
杨 惠，李 峰. 粒子群和蚁群融合算法的自主清洁机器人路径[J]. 计算机工程与应用, 2009, 45(32): 200-202.
YANG Hui，LI Feng. Particle Swarm Optimization and Ant Colony Algorithm integration of auto-cleaning robot path[J]. Computer Engineering and Applications, 2009, 45(32): 200-202.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2009.32.063
http://cea.ceaj.org/CN/Y2009/V45/I32/200
