增强并行均匀序贯寻优方法及其全局寻优性能研究

An enhanced parallel uniform sequential optimization method and studies on its ability for global optimization

对均匀序贯寻优技术的全局寻优能力进行了研究。为提高均匀序贯寻优技术对多峰、奇异函数的全局极值的搜索能力， 将动态抽样技术引入到均匀序贯寻优过程中。并用遗传算法中有代表性的实例验证了该方法的全局搜索能力。

The ability for global optimization by means of the uniform sequential technique is studied. To increase it in seeking optima of functions with multi peaks and singularities, the dynamic sampling technique is incorporated in the process of uniform sequential optimization, whose ability for global search is verified using some typical examples of genetic algorithms.