一种改进的混沌优化方法研究

Study on an Improved Chaos Optimization Algorithm

为提高混沌优化方法的寻优速度和求解精度，本文提出一种改进的混沌优化方法，该方法结合幂函数载波和变尺度混沌优化方法的优点，在第一次载波中利用幂函数全局寻优，在第二次载波中，以当前最优解为中心，不断缩小优化变量的搜索区间进行双侧局部寻优。仿真结果表明，该方法可以明显提高收敛速度和精确性。

An improved chaos optimization algorithm was proposed by combining the advantage of power function carrier and that of mutative scale chaos optimization algorithm. Power function carrier was used to search the optimal nunenrieal value in the whole field in the first carrier course, In the second carrier course of searching for minimal point, it had been assured that the searching area coverage of the optimization variable is shrunk around the center of the current best result. The simulation results indicate that the convergence speed and accuracy of global optimization is significantly improved.