Novel hybrid genetic algorithm for global optimization problems
一种求解全局优化问题的新混合遗传算法

A novel hybrid genetic algorithm for global optimization problems is proposed in this paper.A real-coded genetic algorithm is addressed.A simplified quadratic interpolation method is then integrated into the genetic algorithm. The hybrid genetic algorithm is capable of avoiding the premature convergence,improving the global search ability of the algorithm and the accuracy of the minimum function value,as well as reducing the computational burden.Simulation results on 23 benchmark problems show that the proposed hybrid genetic algorithm is efficient and effective in comparison with other existing algorithms.