| 传统多目标优化方法和多目标遗传算法的比较综述 |
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| 引用本文： | 马小姝,李宇龙,严浪.传统多目标优化方法和多目标遗传算法的比较综述[J].电气传动自动化,2010,32(3):48-50,53. |
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| 作者姓名： | 马小姝 李宇龙 严浪 |
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| 作者单位： | 1. 西安电子科技大学,计算机学院,陕西,西安,710071;天水师范学院,物理与信息科学学院,甘肃,天水,741000
2. 天水电气传动研究所有限责任公司,甘肃,天水,741020 |
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| 摘 要： | 多目标优化是最优化领域的一个重要的研究方向。论述了多目标优化模型,同时介绍了常用的几种传统优化方法和常用的几种多目标遗传算法,对改进后的遗传算法与传统优化方法求解效果进行了比较,认为要进一步研究求解多目标优化问题的更多高效算法,若能结合两者的优点,处理多目标问题的效果将越来越好。
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| 关 键 词： | 多目标优化 传统优化方法 遗传算法 |
Comparsion review of traditional multi-objective optimization methods and multi-objective genetic algorithm |
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| MA Xiao-shu,LI Yu-long,YAN Lang.Comparsion review of traditional multi-objective optimization methods and multi-objective genetic algorithm[J].Electrical Drive Automation,2010,32(3):48-50,53. |
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| Authors: | MA Xiao-shu LI Yu-long YAN Lang |
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| Affiliation: | 1.School of Computer Science and Technology,Xidian University,Xi′an 710071,China;2.School of Physics and Information Science,Tianshui Normal University,Tianshui 741000,China;3.Tianshui Electric Drive Research Institute Co.Ltd.,Tianshui 741020,China) |
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| Abstract: | The multi-objective optimization is an important reseaching direction in most optimizing field.The multi-objective optimization model is discussed,several kinds of traditional optimization methods and multi-objective genetic algorithm are also introduced,the results of improved genetic algorithm and the traditional optimization method are compared,in order to study multi-objective optimization problem of more efficient algorithms,if the both advantages can be combined,the effect of multi-objective problem will be getting better and better. |
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| Keywords: | multi-objective optimization traditional optimization methods genetic algorithm |
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