Time analysis of standard evolutionary algorithms as software programs

Sergio Nesmachnow, F. Luna, E. Alba
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引用次数: 6

Abstract

This article presents a study which characterizes the computational efficiency behavior of a standard EA as a software program. The study analyzes the effects of some implementation decisions regarding memory utilization (dynamic vs. static, local vs. global) and the generation of pseudorandom numbers, on the execution time of the resulting EA. The experimental analysis allows us to conclude that significant improvements in efficiency can be gained by applying simple guidelines on how to best program the EA.
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时间分析的标准进化算法作为软件程序
本文提出了一项研究,该研究将标准EA作为软件程序的计算效率行为进行了表征。该研究分析了一些关于内存利用(动态vs静态,局部vs全局)和伪随机数生成的实现决策对最终EA执行时间的影响。实验分析使我们得出结论,通过应用关于如何最佳编程EA的简单指南,可以获得效率的显着提高。
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