快速免疫进化程序

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI:10.1109/CEC.2004.1330922

Wei Gao

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引用次数: 25

摘要

进化规划是一种很好的全局优化方法。将改进的自适应突变操作和基于人工免疫系统厚度调整的改进选择操作引入到传统的进化规划中，提出了一种快速免疫进化规划方法。最后，通过典型优化函数的仿真实验对该算法进行了验证。实验结果表明，所提出的快速免疫进化规划不仅可以提高原算法的收敛速度，而且可以提高原算法的计算效果，是一种很好的优化方法。

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Fast immunized evolutionary programming

Evolutionary programming is a good global optimization method. By introduction, the improved adaptive mutation operation and improved selection operation based on thickness adjustment of artificial immune system into traditional evolutionary programming, a fast immunized evolutionary programming is proposed in this paper. At last, this algorithm is verified by simulation experiment of typical optimization function. The results of experiment show that, the proposed fast immunized evolutionary programming can improve not only the convergent speed of original algorithm but also the computation effect of original algorithm, and is a very good optimization method.

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来源期刊

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

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