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| 应用反向学习策略的群搜索优化算法 | |
| 引用本文： | 汪慎文,丁立新,谢大同,舒万能,谢承旺,杨华.应用反向学习策略的群搜索优化算法[J].计算机科学,2012,39(9):183-187. |
| 作者姓名： | 汪慎文 丁立新 谢大同 舒万能 谢承旺 杨华 |
| 作者单位： | 1. 武汉大学软件工程国家重点实验室 计算机学院 武汉430072;石家庄经济学院信息工程学院 石家庄050031 2. 武汉大学软件工程国家重点实验室 计算机学院 武汉430072 3. 华东交通大学软件学院 南昌330013 4. 贵州师范大学数学与计算机学院 贵阳550001 |
| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研基金，中央高校基本科研业务费专项资金，河北省科技支撑计划项目，江西省自然科学基金，江西省教育厅科技项目 |
| 摘 要： | 群搜索优化算法(Group Search Optimizer,GSO)是一类基于发现者-加入者(Producer-Scrounger,PS)模型的新型群体随机搜索算法。尽管该算法在解决众多问题中表现优越,但其依然面临着早熟和易陷入局部最优的问题,为此,提出了一种基于一般反向学习策略的群搜索优化算法(GOGSO)。该算法利用反向学习策略来产生反向种群,然后对当前种群和反向种群进行精英选择。通过对比实验表明,该方法效果良好。 |
| 关 键 词： | 群搜索优化算法 反向学习 数值优化 |
Group Search Optimizer Applying Opposition-based Learning |
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| WANG Shen-wen , DING Li-xin , XIE Da-tong , SHU Wan-neng , XIE Cheng-wang , YANG Hua.Group Search Optimizer Applying Opposition-based Learning[J].Computer Science,2012,39(9):183-187. | |
| Authors: | WANG Shen-wen DING Li-xin XIE Da-tong SHU Wan-neng XIE Cheng-wang YANG Hua |
| Affiliation: | 4(State Key Laboratory of Software Engineering,School of Computer,Wuhan University,Wuhan 430072,China)1(School of Information Engineering,Shijiazhuang University of Economics,Shijiazhuang 050031,China)2(School of Software,East China Jiaotong University,Nanchang 330013,China)3(School of Mathematics and Computer Science,Guizhou Normal University,Guiyang 550001,China)4 |
| Abstract: | Group search optimizer(GSO)is a new swarm intelligence algorithms based on the producer-scrounger model.GSO has been shown to yield good performance for solving various optimization problems. However, it tends to suffer from premature convergence and get stuck in local minima. This paper proposed an enhanced GSO algorithm called GOGSO, which employs generalized opposition-based learning to transform the current population into a new opposition population and uses an elite selection mechanism on the two populations. xperiments were conducted on a comprehensive set of benchmark functions. The results show that OGSO obtains promising performance. |
| Keywords: | Group search optimizer Opposition-based learning Numerical optimization |
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