期刊论文

中文

计算机工程与应用

1002-8331

2013

49

10

50-52

10.3778/j.issn.1002-8331.1203-0115

国家科技支撑计划课题（No.2012BAD35B07） 湖南省科技计划课题（No.2011FJ3022） 湖南省教育厅优秀青年项目（No.12B023）

本校为其他机构

为了解决函数优化过程中的"早熟收敛"和"搜索迟钝"问题,将差分演化算法与克隆选择算法进行了结合,提出了一种新的差分演化克隆选择算法。该算法将克隆选择操作引入到差分演化算法中,达到了既能够选出最好个体又能够保证种群多样性的效果。实验结果表明该算法在多峰值函数优化问题中,具有求解精度较高,收敛速度较快等优点。

To further avoid the problem of premature convergence and search stolidity in the process of resolving function opti-mization, a differential evolution clonal selection algorithm based on the clonal selection theory is proposed which can enhance the operating efficiency and the convergence rate of the differential evolution algorithm and then can both select the best individual and guarantee the population diversity. The simulation experimental results show that the result of the multiple ...