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| 基于文化微粒群优化算法的DNA编码研究 | |
| 引用本文： | 殷脂,叶春明,温蜜.基于文化微粒群优化算法的DNA编码研究[J].计算机工程,2011,37(3):10-12. |
| 作者姓名： | 殷脂 叶春明 温蜜 |
| 作者单位： | 1. 上海理工大学管理学院,上海,200093;上海电力学院计算机信息工程学院,上海,200090 2. 上海理工大学管理学院,上海,200093 3. 上海电力学院计算机信息工程学院,上海,200090 |
| 基金项目： | 国家自然科学基金，上海市高校选拔培养优秀青年教师科研专项基金，高等学校博士点基金，上海市重点学科建设基金 |
| 摘 要： | 对DNA编码约束进行研究，选择汉明测量以及相似度作为DNA序列集设计的主要约束，并结合连续性约束与GC Content约束，将序列集设计问题抽象为带有强约束的多目标优化问题，采用文化微粒群算法解决该多目标优化问题。仿真结果表明，该混合算法针对DNA编码序列设计问题，在求解最优值能力、解的稳定性方面都能取得较好的效果。 |
| 关 键 词： | 微粒群优化算法 文化演化 DNA编码 汉明测量 |
Research on DNA Encoding Based on Cultural Particle Swarm Optimization Algorithm |
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| YIN Zhi,YE Chun-ming,WEN Mi.Research on DNA Encoding Based on Cultural Particle Swarm Optimization Algorithm[J].Computer Engineering,2011,37(3):10-12. | |
| Authors: | YIN Zhi YE Chun-ming WEN Mi |
| Affiliation: | 1.Business School,University of Shanghai for Science and Technology,Shanghai 200093,China;2.School of Computer and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China) |
| Abstract: | DNA encoding constrained is researched. H-measure and similarity is the principal constrained for DNA sequence design. Continuity and GC Content is also another constrained. DNA sequence design is presented to solve the multi-objective optimization problem. Particle Swarm Optimization based on Cultural Algorithm（PSO-CA） is proposed to solve the DNA sequence design as a multi-objective optimization problem. Simulation results indicate the hybrid algorithm does well on searching efficiency and key stability for DNA sequence design problem. |
| Keywords: | Particle Swarm Optimization（PSO） algorithm cultural evolution DNA encoding H-measure |
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