Analytical Methods on Computational Capabilities of Multi-parameter Natural Algorithm

L. Jianhua, Wei Xing
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引用次数: 1

Abstract

Concerning the Computational capabilities of Multi-parameter natural algorithm, the Mathematical statistical analysis method using multi-indicators has been proposed. These indicators include the calculation central tendency, the dispersion trends and data distribution, which can clearly reflect the natural algorithm computational capabilities for specific problems, and reveal the influence of different parameters on the process of algorithms calculation. Finally, the immune clone operator is taken as an Analysis case. The experimental data has given the rule of the influence of computing power in different parameters.
多参数自然算法计算能力的分析方法
针对多参数自然算法的计算能力,提出了多指标数理统计分析方法。这些指标包括计算集中趋势、离散趋势和数据分布,可以清晰地反映算法对特定问题的自然计算能力,揭示不同参数对算法计算过程的影响。最后,以免疫克隆算子为分析案例。实验数据给出了计算能力在不同参数下的影响规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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