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基于差分进化算法的多维传感器动态解耦方法
引用本文:刘明亮. 基于差分进化算法的多维传感器动态解耦方法[J]. 电子技术, 2011, 38(4): 1-3
作者姓名:刘明亮
作者单位:安徽大学电子科学与技术学院;
摘    要:差分进化算法(differential evolution algorithm,DE)是近年来比较流行的进化算法,被广泛应用于复杂的优化问题中.但常规的差分进化算法存在停滞现象,容易使算法收敛停止,鉴于此本文提出一种改进的差分进化算法,防止了停滞现象也加快了收敛速率并使算法能收敛到全局最优.基于小生境差分进化算法,提出...

关 键 词:多维传感器  动态解耦  差分进化算法  停滞

Multi-axis Sensor Dynamic De-coupling Method Based on DE Algorithm
Liu Mingliang. Multi-axis Sensor Dynamic De-coupling Method Based on DE Algorithm[J]. Electronic Technology, 2011, 38(4): 1-3
Authors:Liu Mingliang
Affiliation:Liu Mingliang(School of Electronic Science and Technology,Anhui University)
Abstract:Differential evolution(DE) algorithm is a very popular evolution algorithm in recent years,it is widely used in complex optimization issues.But conventional DE algorithm exists stagnation problem that can stop the algorithm convergence.Aiming at this problem,an improved DE algorithm is proposed,so that stagnation is prevented,convergence speed is increased,and the algorithm can be converged to global optimum.A new multi-axis sensor dynamic decoupling method is proposed based on a niche differential evolutio...
Keywords:multi-axis sensor  dynamic decoupling  differential evolution algorithm  stagnation  
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