| 基于人工鱼群遗传算法的 DNA 编码优化 |
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| 引用本文： | 胡娟,李冬,张丽丽.基于人工鱼群遗传算法的 DNA 编码优化[J].淮南工业学院学报,2014(1):56-60. |
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| 作者姓名： | 胡娟 李冬 张丽丽 |
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| 作者单位： | [1]淮南职业技术学院基础部,安徽淮南232001 [2]淮南工业学校电子组,安徽淮南232001 [3]安徽理工大学理学院,安徽淮南232001 |
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| 基金项目： | 基金项目：安徽省高校青年优秀人才基金资助项目（2012SQRL259） |
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| 摘 要： | 针对DNA计算中的编码序列设计问题，分析DNA编码序列设计的目标和需要满足的约束条件，从中选择适当的约束条件，给出评估公式，提出人工鱼群遗传算法生成有效的DNA编码序列。经实验结果表明，所述算法比遗传算法及遗传粒子群算法产生的DNA编码序列质量更加稳定可靠。
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| 关 键 词： | DNA计算 DNA编码 组合优化 人工鱼群遗传算法 |
Optimization of DNA Encodings Based on GAFSA/GA Algorithm |
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| HU Juan,LI Dong,ZHANG Li-li.Optimization of DNA Encodings Based on GAFSA/GA Algorithm[J].Journal of Huainan Institute of Technology(Natural Science),2014(1):56-60. |
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| Authors: | HU Juan LI Dong ZHANG Li-li |
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| Affiliation: | 1. Department of Fundamental Course, Huainan Vocational Technical College,Huainan Anhui 232001 , China; 2. Department of Electronics, Huainan Industrial School, Huainan Anhui 232001, China; 3. Department of Mathematics and Physscs, Anhui University of Science and Technology, Huainan Anhui 232001 , China) |
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| Abstract: | Concerning the coding sequence design problems in DNA computing , the objective and constraints of DNA encoding sequence was analyzed , from which the appropriate constraints were selected , and the evaluation formulas of the selected constrained terms are proposed , then a Global Artificial Fish Swarm algorithm /Genetic Algorithm （ GAFSA/GA ） was proposed to generate DNA encoding sequences .The results showed that the DNA sequences generated by GAFSA/GA have better quality than that generated by the genetic algorithm and Genetic Algorithm/Particle Swarm Optimization . |
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| Keywords: | DNA computing DNA encoding combinational optimization artificial fish swarm |
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