摘要
通过对梯度法和小生境遗传算法优缺点的分析,提出了一种自适应梯度小生境混合优化算法。小生境算法利用当前种群适应度和种群代数来设计交叉算子和变异算子,保持了种群的多样性,改善全局搜索能力,应用自适应变步长梯度算法的快速寻优特点来减少运行的时间,优化极值精度,加快了收敛速度。对Shubert函数的仿真试验,证明该算法能明显的改善全局搜索能力,加快算法收敛速度。
Based on analysis of merits and defects of Gradient-Optimization and Niche Genetic Algorithm,a new hybrid optimal algorithm was presented,which is combined Gradient-Optimization and Niche Genetic Algorithm.The adaptive crossover operator and mutation operator were used to guarantee the population diversity,improve searching the global optimum and convergence speed.The adaptive Gradi-Optimization was used to improve the precision of the optimum.Simulation results in the Shubert show that this method is nice at improving on searching the global optimum,convergence speed and its superiority in precision.
出处
《计算机与数字工程》
2012年第2期37-39,共3页
Computer & Digital Engineering
