A kind of ant colony algorithm for function optimization

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1176818

Wei-qing Xiong, Ping Wei

引用次数: 8

Abstract

The paper introduced a coding and selectional operation based on the genetic algorithm through recognizing the standard ant colony algorithm, and improve the pheromone for general function optimization. The algorithm was proved to be efficient by several function solutions.

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一种用于函数优化的蚁群算法

本文通过对标准蚁群算法的识别，介绍了一种基于遗传算法的编码和选择操作，并改进了信息素对一般函数的优化。通过几个函数解，证明了该算法的有效性。

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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来源期刊

Proceedings. International Conference on Machine Learning and Cybernetics

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