Abstract:

Based on the operators of DNA computing, a multiobjective nondominated sorted genetic algorithm（DNA-NSGA-Ⅱ）was proposed to optimize the radial basis function (RBF) networkBoth the structure complexity and the approximation performance were optimizedOnce a group of Pareto optimal solutions were derived, the appropriate RBF network could be chosen in terms of the sum of absolute values of the testing errorsSimulation results of a continuous stirred tank reactor (CSTR) and pH neutralization process showed that the proposed method is an efficient black box dynamic modeling approach.