基于社会性昆虫隐喻的局部信息下的路由效应

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1004454

Suiliong Liang, A. N. Zincir-Heywood, M. Heywood

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引用次数: 30

摘要

尽管自适应和启发式方法在理想条件下对分组网络路由问题表现良好，但这些算法也依赖于在现实条件下不可用的全局信息。这项工作使用AntNet算法对本地信息条件下的路由进行基准测试，并就未来的方法提出建议。

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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The effect of routing under local information using a social insect metaphor

Although adaptive and heuristic approaches perform well under idealized conditions to the packet network routing problem, such algorithms are also dependent on global information that is not available under real-world conditions. This work benchmarks routing under local information conditions using the AntNet algorithm and makes recommendations regarding future approaches.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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