THE HEURISTIC SEARCHING METHODS ON SOLVING OPTIMAL PROBLEM OF MULTI-PARAMETER AND HUGE SOLUTION USING GA
Yulan Wang · Computing Techniques for Geophysical and Geochemical Exploration · 2005
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.