The new algorithm includes the mutation operator during the running time which can be useful to improve the ability of PSO in breaking away from the local optimum.

该算法在运行过程中增加了随机变异算子，通过对当前最佳粒子进行随机变异来增强粒子群优化算法跳出局部最优解的能力。

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This paper adds mutation operator to adaptive PSO and apply it in the lymphoma morphology parameter classifier problems.

对自适应粒子群算法引入变异算子，并对其进行改进，将其应用到淋巴瘤形态参数的分类问题上。

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