Adaptive Niche Genetic Algorithm based on gradi-optimization

To deal with low efficiency and low convergence speed in searching the global optimum, and only gaining several the optimum while it is used in multimode-function-optimization, an adaptive Niche Genetic Algorithm (NGA) based on gradi-optimization is proposed in this paper. The adaptive crossover operator and mutation operator are used to guarantee the population diversity, improve the global optimum search and accelerate the convergence speed. The gradi-optimization is used to improve the precision of the optimum. Simulation results in the Shubert show that this method is nice at improving on the global optimum search, convergence speed and its superiority in precision.