Adaptive differential evolution algorithm and its application to parameter estimation

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.