量子克隆进化算法

Quantum Clonal Evolutionary Algorithms

本文在量子进化算法的基础上结合基于克隆选择学说的克隆算子 ,提出了改进的进化算法———量子克隆进化策略算法 (QCES) .它既借鉴了量子进化算法的高效并行性又利用克隆算子来代替其中的变异和选择操作 ,以增加种群的多样性 ,避免了早熟 ,且收敛速度快 .本文不仅从理论上证明了该算法的收敛 。

Based on the combining of the quantum evolutionary algorithms (QEA) with the main mechanisms of clone,an improved evolutionary algorithm-quantum clonal evolutionary strategies (QCES) was proposed in this paper.By adopting the high-effective parallelism of QEA and replacing clone operator by mutation and selection of the classical evolutionary algorithms (CEA),it has better diversity and the converging speed than CEA and avoided prematurity.The convergence of the QCES is proved and its superiority is shown by experiments in this paper.