改进的快速遗传算法及其性能研究  

An Improved Fast-Convergent Genetic Algorithm and Its Performance Study

作　　者：高玮[1] 

机构地区：[1]武汉工业学院土木工程系

出　　处：《系统工程与电子技术》2003年第11期1427-1430,共4页Systems Engineering and Electronics

摘　　要：遗传算法作为一种有效的全局随机优化方法,在工程界已得到了广泛应用。为了克服工程应用中遗传算法所表现出的计算费时、稳定性差等缺点,提出了一种快速收敛的遗传算法,从初始群体生成及遗传算子操作等几个方面作了改进。通过几个复杂函数的优化仿真实验,证明该算法能大大提高遗传算法的收敛速度,明显改善算法的计算稳定性。As an effective global search method, genetic algorithm has been used in many engineering problems. But this method has the disadvantages of slow convergence and poor stability in practical engineering. In order to overcome these problems, an improved fastconvergent genetic algorithm is proposed in terms of creation of the initial population, genetic operators, etc. Through the simulation experiments of some hardoptimizing functions, the proposed algorithm shows its faster convergence and better stability than other existing algorithms.\;

关 键 词：遗传算法 稳定性 优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]