Solving Nonlinear Equations Based on Improved Genetic Algorithm
Lewei Yan, Shuhui Chen · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2011
Some methods such as population isolation mechanism,optimum reserved strategy,arithmetic crossover,adaptive random mutation and heterogeneous strategy are used to improve genetic algorithm.Besides the advantage that the optimal solution can be found only by the value of objective function,the local searching capability is enhanced in this improve genetic algorithm.This algorithm is applied to solve nonlinear equations.Numerical examples demonstrated that this algorithm can solve the optimization problem which has nonlinear equality constraint.Furthermore,the heterogeneous strategy speeds up the process of convergence and raises the convergence probability of global optimal solution.