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 fastconvergent genetic algorithm is proposed in terms of creation of the initial population, genetic operators, etc. Through the simulation experiments of some hardoptimizing functions, the proposed algorithm shows its faster convergence and better stability than other existing algorithms.\;
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2003年第11期1427-1430,共4页
Systems Engineering and Electronics
关键词
遗传算法
稳定性
优化
Genetic algorithm
Stability
Optimization