果蝇优化算法与引力搜索算法的比较分析

2018 14th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2018-11-01 DOI:10.1109/CIS2018.2018.00020

Xiaohua Li

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引用次数: 0

摘要

本文对果蝇优化算法(Drosophila Optimization, DO)和引力搜索算法(gravity Search Algorithm, GSA)两种进化方法进行了比较。进化方法的一个重要问题是如何平衡开发和探索。通过一组数值实验验证了这些方法的性能。数值结果表明，GSA在收敛速度和精度上都优于DO。

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The Comparing Analysis of Drosophila Optimization and Gravitational Search Algorithm

In this paper, two evolutionary methods, Drosophila Optimization (DO) and Gravitational Search Algorithm (GSA), are compared. Important problem of evolutionary methods is how to balance exploitation and exploration. We take a set of numerical experiments to verify the performance of these methods. Numerical results show that GSA is better than DO in convergence rate or accuracy.

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2018 14th International Conference on Computational Intelligence and Security (CIS)

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