一种文化算法优化

工程中复杂的优化问题很难获得其解析解,通过数值计算方法去获取数值解容易陷入局部最优解。为提高求解高维问题数值最优解的速度和准确性,在传统文化算法基础上将种群分为精英群体和普通群体,分别按照不同的方式进化并对种群做初始化优化,通过MATLAB编程用实例分别对优化前后的算法进行仿真。实验表明,优化后较优化前在速度上有较大的提升,进行初始化改进的文化算法在高维优化问题中能更快、更准确地逼近最优解,为求解复杂的问题提供了一种新的参考方法。

An optimization of cultural algorithm

It's difficult to obtain the analytic solution of complicated optimization problems in engineering.To try to get numerical solution with numerical computation method is easy to get local optimal solution instead.In order to improve the speed and accuracy of numerical optimal solution to highdimensional problems,the population is divided into intelligent population and common population on the basis of traditional culture algorithm,and they are initially optimized according to different evolving ways respectively.Furthermore,simulation of practical examples by MATLAB program is carried out.The results show that the speed is greatly improved after optimization and the cultural algorithm with initialized improvement can approximate the optimal solution faster and more accurately in high-dimensional optimization problems.The optimized cultural algorithm provides a new reference for practical engineering problem.