| 基于差分进化和粗糙集理论的多目标优化算法的研究 |
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| 引用本文： | 朱葛俊.基于差分进化和粗糙集理论的多目标优化算法的研究[J].科技通报,2012,28(2):87-88,94. |
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| 作者姓名： | 朱葛俊 |
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| 作者单位： | 常州机电职业技术学院信息工程系,江苏 常州,213164 |
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| 基金项目： | 2011年度江苏省高校科研成果产业化推进项目(HZD11-58) |
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| 摘 要： | 提出了一种新的基于差分进化和粗糙集理论的多目标寻优算法。应用差分进化作为的搜索引擎,尝试将它在单一目标优化中展现出的良好收敛作用转换到多目标优化问题中。在搜索的第二阶段中,为了提高迄今为止已有的非支配解决方案的普遍性,应用到了粗糙集理论。对于专用文献中通常采纳应用标准的测试函数和尺度的检验,本文的混合方法是有效的。
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| 关 键 词： | 数学模型 多目标优化 差分进化 粗糙集理论 |
A Research on the Proposal for Multi-Objective Optimization using Differential Evolution and Rough Sets Theory |
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| ZHU Gejun.A Research on the Proposal for Multi-Objective Optimization using Differential Evolution and Rough Sets Theory[J].Bulletin of Science and Technology,2012,28(2):87-88,94. |
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| Authors: | ZHU Gejun |
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| Institution: | ZHU Gejun(Changzhou Institute of Mechatronic Technology,Changzhou 213164,China) |
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| Abstract: | This paper presents a novel based on rough set theory and differential evolution algorithm of multiple objective optimizations.Application of differential evolution as a search engine,try it in a single role shows good convergence objective optimization conversions to the multi-objective optimization problems.In search of the second phase,in order to enhance the universality of the non-dominated solutions already so far,applied to the rough set theory.Dedicated literature generally adopt standard testing of test function and scale,hybrid method is effective this article. |
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| Keywords: | mathematical model multi-objective optimization differential evolution rough set theory |
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