基因搜索的突变方法分类

D. Drašković, B. Nikolić, V. Milutinovic
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引用次数: 2

摘要

互联网搜索的遗传算法在公开文献中被分类了很多,但是有一个特定的方面——突变方法——没有被分类。这篇论文代表了一种努力,在遗传算法的背景下,阐明现有的突变方法,它们是其中的一部分。本文的主要贡献有:(a)一个原始的分类,它开辟了一些可能富有成果的研究途径;(b)以框图表示新采用的分类的四个主要类别;(c)以易于比较的方式以统一的伪代码表示选定的算法;(d)以开辟未来研究新途径的方式讨论基本问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A classification of mutational approaches for genetic search
Genetic algorithms for Internet Search were classified a lot in the open literature, but one specific aspect there off - the mutational approaches - was not. This paper represents an effort to shot light on the existing mutational approaches in the context of the genetic algorithms that they are a part of. Major contributions of this paper are: (a) An original classification, which opens some potentially fruitful research avenues; (b) A block diagram based representation of the four major classes of the newly introduced classification; (c) Uniform pseudo-code based presentation of selected algorithms, in a way that enables easy comparison; (d) Discussion of essential issues in a way that opens up new avenues for future research.
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