Abstract

A novel algorithm, called quantum-inspired immune evolutionary algorithm (QIEA), is proposed to avoid premature convergence. Based on the combining of the quantum evolutionary algorithm with the main mechanisms of immune, QIEA can adopt the high-effective parallelism of QEA and using a lot of operators such as mutation and selection to improve the traditional quantum evolutionary algorithm (QEA), the new QIEA has better diversity of its swarm in order to avoid prematurity and converging speed than the traditional evolutionary algorithm. The convergence of the QIEA is proved and its superiority is shown by the experiments in this paper.

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