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多目标进化算法及其在控制领域中的应用综述 被引量：23

Survey of Multi-objective Evolutionary Algorithm and Its Applications in the Field of Automatic Control
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摘要 多目标进化算法在求解多目标优化问题方面具有独特的优势.对此,介绍了多目标进化算法的基本原理,讨论了多目标进化算法的一系列改进方法;论述了近年来多目标进化算法在自动控制领域中的最新研究成果,并对其未来的发展方向进行了展望. Multi-objective evolutionary algorithm （MOEA） is especially suitable to solve multi-objective optimization problems. The basic principle of MOEA is first introduced, and a series of improved algorithms are discussed briefly. Then, newly successful applications of MOEA in the filed of automatic control are reviewed in detail. Finally, some of the most promising areas of further research are briefly discussed.
作者 马清亮 胡昌华
机构地区 第二炮兵工程学院自动化系
出处 《控制与决策》 EI CSCD 北大核心 2006年第5期481-486,共6页 Control and Decision
基金 国家自然科学基金项目(69931040)
关键词 优化控制 多目标控制 多目标进化算法 Optimal control, Multi-objective control, Multi-objective evolutionary algorithm
分类号 TP13 [自动化与计算机技术—控制理论与控制工程]
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参考文献38

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控制与决策
2006年 第5期

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