摘要
为了解决传统遗传算法的早熟问题 ,首次提出了混沌移民算子 .利用混沌迭代的遍历性和内在随机性 ,通过混沌移民操作可克服传统遗传算法中的近亲繁殖问题 ,确保算法的全局收敛性 .用MATLAB语言研制了混沌遗传优化算法软件ChGA1.0 ;数值计算表明 ,该算法的全局收敛性及算法本身的鲁棒性好 ,适应于求解连续变量的无约束及有约束优化设计问题 ,具有工程实用价值 .
In order to solve the problem of genetic algorithm's premature convergence,CIO was put forward firstly.Because of the properties of ergodicity and inherent stochastic property of chaos iteration,CIO can overcome the problem of propagation in close relative and ensures that the genetic algorithm converges to global optimization.The program of chaos genetic algorithm (ChGA1.0) had been designed with MATLAB language.Design examples show that this algorithm has better global convergence than simple genetic algorithm and has robustness.This optimal algorithm can be used to solve optimal design problems with constraints or no constraints,and then has engineering practical value.
基金
湖南省自然科学基金项目资助课题 [0 0JJY2 0 5 0 ]
