【摘要】 遗传算法(GA)作为一种有效的全局寻优算法,由于其计算原理简单、搜索能力强、对搜索空间要求低等特点,在许多优化问题中得到了广泛地应用。这里讨论了遗传算法(GA)对多参数超大解空间优化问题的求解方法,重点探讨了提高GA搜索速度的方法,给出了几种启发式搜索策略,并应用于地震波反演这个典型的多参数超大解空间优化问题中,有效地提高了GA的搜索能力,加快了收敛速度。更多还原

【Abstract】 For the easy understanding in principles and few requirement for searching space, genetic algorithm (GA), as a searching optimal solution algorithm in whole solution space, has been widely applied to many fields. In this paper, we discuss the algorithm of GA in multi-parameter and huge solution space with emphasizing on the improvement of the searching speed of GA. Some heuristic searching methods have been studied and illustrated with a seismic data inversion, which is a typical problem of multi-parameter and huge solution space. The result shows that the searching speed is improved greatly.更多还原