Data fitting based on genetic algorithm implementation in MATLAB environment
Hongbing Lin · Hunan Agricultural Machinery · 2010
Sometimes there is no rigorous function relation between two correlative parameters in nature science.On the basis of the least Square method,the fitting equation and its optimal coefficient can be defined.However,for rather complex nonlinear problems,this may not work.According to the principle of curve fitting algorithm and the specific property of genetic algorithm(GA),several steps of date fitting with GA are presented and its realization in MATLAB has been discussed.A case of data fitting problem has been given to demonstrate the global optimization functionality of the MATLAB program.