基于人工免疫算法的多目标函数优化  

Multiobjetive Optimization Based on Artificial Immune Algorithm

作　　者：李春华[1] 毛宗源[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510640

出　　处：《计算机测量与控制》2005年第3期278-280,共3页Computer Measurement &Control

摘　　要：提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。最后, 算法对3个较复杂的多目标问题进行了优化, 优化结果能很好地覆盖问题的Pareto最优面, 并且把算法与某些混合遗传算法进行了对比实验, 表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is designed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning parameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results can perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply artificial immune system to solve multiobjective optimization problems.

关 键 词：人工免疫算法 多目标函数优化 多目标优化问题 函数优化问题 自然免疫系统 混合遗传算法 多目标问题 优良特性 覆盖问题 对比实验 研究前景 最优 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O224[自动化与计算机技术—控制科学与工程]