摘要
入侵野草优化(IWO)算法是近年来提出的一种简单、有效的基于种群的新颖数值优化算法,在许多领域得到成功运用。将IWO算法与粒子滤波(PF)算法相结合,提出一种基于IWO算法的粒子滤波算法(IWOPF)。该算法将IWO算法运用于粒子滤波的重采样中,以保证粒子的有效性和多样性。最后通过计算仿真验证该算法的有效性和优越性。
Invasive weed optimization（ IWO） algorithm is a recently proposed simple and effective population-based novel numerical optimization algorithm. It has been received increasing attention and successfully applied to many fields. Then a particle filter（ PF） based on IWO（ IWOPF） is proposed by combining IWO and PF in the paper. IWO is applied to particle resampling to keep the validity and variety of particles in the algorithm. The variety and superiority is tested by computer simulation.
出处
《舰船科学技术》
北大核心
2015年第2期35-39,共5页
Ship Science and Technology
关键词
入侵野草优化算法
粒子滤波
重采样
invasive weed optimization
particle filter
resampling
