Abstract The efficiency of immune clonal algorithm is greatly reduced by evolution randomness due to random mutations in polyclonal strategies. A quantum immune clonal algorithm based on biologic information mechanism (QICABIM) is proposed to solve the problem. In QICABIM, quantum computation is introduced into mutations of polyclonal strategies to facilitate genetic operation, and a biologic information mechanism is employed to improve information interaction and accelerate the speed of evolution. The convergence of QICABIM is then proved. Simulation results indicate that QICA BIM significantly improves the optimizing capability of immune clonal algorithm. Besides, it has better search capability and higher stability compared with some other quantuminspired immune clonal algorithms,advanced immune clonal algorithms and evolution algorithms.
2011, Vol. 24 
