Adaptive differential evolution algorithm and its application to parameter estimation

Author

Hailun Wang ; Wanliang Wang ; Jianwei Zheng

Author_Institution

Dept. of Electron. Inf., Quzhou Coll., Quzhou, China

fYear

2014

Firstpage

1671

Lastpage

1675

Abstract

Differential Evolution algorithm with Control Parameter Adaptation and Strategy Adaptation(DE-CPASA) is here introduced to solve the problem of parameter estimation. 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 the evaluation of fitness function. Simulation test results show that DE-CPASA can obtain more precision solution and have faster convergence. DE-CPASA is employed to estimate the kinetic parameters of Hg oxidation, and an optimization result is obtained.

Keywords

Gaussian distribution; adaptive control; evolutionary computation; parameter estimation; DE-CPASA; Gaussian distribution; Hg oxidation; adaptive control parameters; adaptive differential evolution algorithm; control parameter adaptation and strategy adaptation; differential evolution operator; fitness function; kinetic parameter estimation; optimization results; Heuristic algorithms; Kinetic theory; Mercury (metals); Optimization; Oxidation; Sociology; Statistics; Differential evolution algorithm; Hg oxidation; Parameter estimation; adaptive;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Control (ICMC), 2014 International Conference on

Print_ISBN

978-1-4799-2537-7

Type

conf

DOI

10.1109/ICMC.2014.7231844

Filename

7231844