| 进化算法鲁棒最优解研究综述 |
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| 引用本文： | 郑金华,罗彪,李晶,文诗华,李望移.进化算法鲁棒最优解研究综述[J].计算机科学,2009,36(2):30-34. |
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| 作者姓名： | 郑金华 罗彪 李晶 文诗华 李望移 |
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| 作者单位： | 湘潭大学信息工程学院,湘潭,411105 |
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| 基金项目： | 国家自然科学基金，湖南省教育厅重点科研项目 |
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| 摘 要： | 在实际应用中,环境往往是不稳定的且易受到噪声的影响.因此,时于许多现实优化问题,一个鲁棒性好的解具有重要的意义.然而,以往关于进化算法(EAs)的研究主要集中在寻找全局最优解,解的鲁棒性却没有得到重视.从单目标鲁棒最优解、多目标鲁棒最优解及效率等方面较全面地分析了目前EAs搜索鲁棒最优解的研究现状.最后对相关研究工作做了展望.
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| 关 键 词： | 进化算法 鲁棒性 鲁棒最优解 单目标 多目标 效率 |
| 收稿时间： | 4/1/2008 12:00:00 AM |
Survey of Robust Optimal Solutions in Evolutionary Algorithms |
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| ZHENG Jin-hu,LUO Biao,LI Jing,WEN Shi-hu,LI Wang-yi.Survey of Robust Optimal Solutions in Evolutionary Algorithms[J].Computer Science,2009,36(2):30-34. |
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| Authors: | ZHENG Jin-hu LUO Biao LI Jing WEN Shi-hu LI Wang-yi |
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| Affiliation: | Institute of Information Engineering;Xiangtan University;Xiangtan 411105;China |
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| Abstract: | The environments are often unstable and susceptible to noises in real application.Therefore,it is significant for a solution with good robustness.However,most studies about evolutionary algorithms were focused on finding glo-bal optimal solutions till now,little attention concerned on robustness of solutions.We analyzed the research situation about searching robust optimal solutions with evolutionary algorithm from a series of aspects(single objective robust optimal solutions,mutli-objective robust optimal ... |
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| Keywords: | Evolutionary algorithms Robustness Robust optimal solutions Single objective Mutli-objective Efficiency |
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