CAJ | 학술논문

作者从随机化全局搜索的思想出发，利用混沌运动具有的遍历性、随机性、规律性等特点进行大范围的全局优化搜索，再结合遗传算法的杂交算子和小邻域的局部搜索，从而提出了一种综合的混沌优化方法。通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
작자종수궤화전국수색적사상출발，이용혼돈운동구유적편력성、수궤성、규률성등특점진행대범위적전국우화수색，재결합유전산법적잡교산자화소린역적국부수색，종이제출료일충종합적혼돈우화방법。통과대지진기록자파고계적이론모형시험，결과표명저충혼돈적우화산법비단일적수궤우화방법구유흔호적실제효과화응용전경。
A hybrid chaos optimization algorithm is proposed that first carries on global search using the ergodicity, stochastic property and regularity of chaos. Then the local optimization search is done quickly using the mating operation of genetic algorithm. The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.