A niche quantum genetic algorithm used in multi-peak function optimization

When we use quantum genetic algorithm in multi-peak function optimization, there exist some problems, such as easily falling into prematurity, having slow convergence rate and so on. To solve above problems, a niche quantum genetic algorithm based on real number encoding is brought forward. The algorithm adopts phases in niche technique; it encodes quantum bit using real number, renews chromosome using quantum revolving gates and enhances the global optimum capability of solving multi-peak function optimization. The algorithm not only has the efficient parallelism but also increases the diversities of population because of the niche technique. The simulation result shows that the new algorithm is prior to traditional quantum genetic algorithm, having stronger adaptability and convergence, solving better the question on multi-peak function optimization.