Research on float representation niche genetic algorithm

Niche had better performance in increasing the population diversity of genetic algorithm (GA), in improving local researching performance of it. So far, research results of relating to niche GA were all on binary representation, there was almost no on float representation genetic algorithm (FRGA). But in improving the performance of GA and extending GApsilas application, float representation is superior to other representation. This paper presents a float representation niche genetic algorithm (FRNGA). In the paper, the mechanism of FRNGA is researched by it. Dynamic process is analyzed by it on niche emerging and merging and disassociating in genetic operation. The method is explored by it. The results of its research and experiment indicate that the performance of FRNGA is reliable. The method is feasible.