计算机工程2012，Vol.38Issue(5)：202-204,207,4.
自适应差分进化算法及其在参数估计中的应用
Adaptive Differential Evolution Algorithm and Its Application in Parameter Estimation
摘要
Abstract
In order to solve problem of parameter estimation, an Differential Evolution algorithm with Control Parameter Adaptation and Strategy Adaptation(DE-CPASA) is introduced. In DE-CPASA, differential evolution operator is used to search the optimization results of problems, and Gaussian distribution is employed to implement the adaptive control parameters. The strategy adaptation is achieved by evaluation of value of fitness function. Simulation test results show that DE-CPASA can obtain a higher precision solution and has fast convergence. DE-CPASA is employed to estimate the kinetic parameters of Hg oxidation, and a good optimization result is obtained.关键词
差分进化算法/自适应/参数估计/水银氧化/策略自适应/变异因子Key words
differential evolution algorithm/adaptive/parameter estimation/Hg oxidation/strategy adaptation/mutation factor分类
信息技术与安全科学引用本文复制引用
王海伦,余世明,郑秀莲..自适应差分进化算法及其在参数估计中的应用[J].计算机工程,2012,38(5):202-204,207,4.基金项目
2010年度科技部国家重点新产品计划基金资助项目(2010GRC20113) （2010GRC20113）
衢州学院中青年骨干教师基金 资助项目 （）
