Hybrid quantum crossover based immune clonal algorithm and its application

In order to overcome the premature convergence problem of clonal selection algorithm (CSA), a hybrid quantum crossover is proposed to improve the performance of CSA. The hybrid crossover is composed of two crossovers and well balance the exploration and exploitation search during immune maturation process. The effectiveness of the new crossover based CSA is evaluated on a class of traveling salesman problems (TSP). Simulation results demonstrate the performance of the proposed algorithm.