Glowworm Swarm Optimization Algorithm for Solving Multi-objective Optimization Problem

2013 Ninth International Conference on Computational Intelligence and Security Pub Date : 2013-12-14 DOI:10.1109/CIS.2013.10

He Deng-xu, Liu Gui-qing, Zhu Hua-zheng

引用次数: 7

Abstract

The glowworm swarm optimization algorithm is used to solve multi-objective optimization problem (MOP-GSO). It is shown by simulation that, MOP-GSO algorithm is effective to solve multi-objective optimization. Compared with NSGA2, it is better in term of the spread of the solutions.

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求解多目标优化问题的萤火虫群算法

采用萤火虫群优化算法求解多目标优化问题。仿真结果表明，MOP-GSO算法是解决多目标优化问题的有效方法。与NSGA2相比，溶液的扩散效果更好。

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

2013 Ninth International Conference on Computational Intelligence and Security

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