|
|
论文:2013,Vol:31,Issue(1):134-138 |
|
|
引用本文： |
|
|
赵志草, 宋保维, 赵晓哲. 系统实时可靠性冗余优化研究[J]. 西北工业大学 |
|
|
Zhao Zhicao, Song Baowei, Zhao Xiaozhe. Optimization of Real-Time Reliability Redundancy in Complex System[J]. Northwestern polytechnical university |
|
|
|
|
|
|
|
| 系统实时可靠性冗余优化研究 |
|
| 赵志草1, 宋保维1, 赵晓哲1,2 |
|
1. 西北工业大学 航海学院, 陕西 西安 710072;
2. 大连舰艇学院, 辽宁 大连 116013 |
| 摘要: |
| 根据系统实时可靠性优化设计的需求,在现有优化模型基础上,选取系统工作过程中三个时刻的可靠度为优化目标,建立了多目标优化模型,并将其转化为超目标优化模型。提出GAG1启发式算法和粒子群算法的联合算法用以求解模型。算例结果表明了该模型考虑问题的全面性以及联合算法的有效性。 |
| 关键词:
实时可靠性
冗余优化
多目标
算法
|
|
| Optimization of Real-Time Reliability Redundancy in Complex System |
|
| Zhao Zhicao1, Song Baowei1, Zhao Xiaozhe1,2 |
|
1. College of Marine Engineering, Northwestern Polytechnical University, Xi'an 710072, China;
2. Dalian Naval Academy, Dalian 116013, China |
| Abstract: |
| Aim.The introduction of the full paper reviews a number of relevant papers in the open literature andthen proposes the model and algorithm which we believe are somewhat better than existing ones and which are fullyexplained in sections 1 and 2 of the full paper.Their core consists of: “A multiobjective optimization model is es-tablished according to the requirements of real-time reliability redundancy in complex system, and then is trans-formed into a super-objective optimization model.To solve this model, the GAG1 heuristic algorithm and ParticleSwarm Optimization (PSO) one are explained and analyzed, then a joint algorithm is established based on thesetwo algorithms.”.An example model is analyzed with these three algorithms.The calculated results, presented inTables 2 and 3, and their analysis show preliminarily that our model, which is comprehensive, is indeed somewhatbetter than existing models, and the joint algorithm is efficient. |
| Key words:
algorithms
calculations
efficiency
mathematical models
MATLAB
multiobjective optimization
Particle Swarm Optimization (PSO)
redundancy
reliability;complex system
real-time reliability
|
|
| 收稿日期: 2012-05-04
修回日期:
|
| DOI: |
| 基金项目: 高等学校博士学科点专项科研基金(20106102120012)资助 |
| 通讯作者:
Email： |
| 作者简介: 赵志草(1986-)，男，西北工业大学博士研究生，主要从事系统可靠性设计研究。
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] 蒂尔曼,黄清莱,郭 威(刘炳章译).系统可靠性最优化.北京:国防工业出版社,1988Tillman F A,Huang Q L,Kuo Way.System Reliability Optimization.Liu Bingzhang (Translator).Beijing: Science Press,1988 (in Chinese)
[2] 陈 瑜.机载电子设备可靠性冗余数的确定.西北工业大学学报,1995,13(1):65-68Chen Yu.On Determination of Redundancy Numbers of Reliability for Airborne Electronics Equipment.Journal of NorthwesternPolytechnical University,1995,13(1): 65-68 (in Chinese)
[3] 黎 放,朱 承,王威.冗余系统费用模型及优化.系统工程与电子技术,2000,22(9):84-89Li Fang,Zhu Cheng,Wang Wei.Cost Models and Optimization of Redundant System.Systems Engineering and Electronic,2000,22(9):84-89 (in Chinese)
[4] 鹿祥宾,李晓钢,林 峰.复杂系统的可靠性分配和优化.北京航空航天大学学报,2004,30(6):565-568Lu Xiangbin,Li Xiaogang,Lin Feng.Reliability Allocation and Optimization for Complex Systems.Journal of Beijing Universityof Aeronautics and Astronautics,2004,30(6):565-568 (in Chinese)
[5] 王正初,赵燕伟.复杂系统可靠性冗余优化的量子粒子群算法研究.中国制造业信息化,2007,36(11):72-75Wang Zhengchu,Zhao Yanwei.QPSO-Based Reliability Redundancy Optimization for Complex System.Manufacture InformationEngineering of China,2007,36(11):72-75 (in Chinese)
[6] 程世娟,卢 伟,何 平.复杂系统可靠性冗余的蚁群优化算法.机械强度,2010,32(1):064-067Cheng Shijuan,Lu Wei,He Ping.Ant Colony Optimization of Reliability Redundancy in Complex System.Journal of Mechani-cal Strength,2010,32(1):064-067 (in Chinese)
[7] 郭 威等(郭进利、 阎春宁译).最优可靠性设计:基础与应用.北京: 科学出版社,2011Kuo Way,et al.Optimal Reliability Design.Guo Jinli,Yan Chunning (Translator).Beijing: Science Press,2011 (in Chi-nese)
[8] Aggarwal K K.Redundancy Optimization in General Systems.IEEE Trans on Reliability,1976,R-25(25): 330-332
[9] Gopal K,Aggarwal K K,Gupta J S.An Improved Algorithm for Reliability Optimization.IEEE Trans on Reliability,1978,R-27(27): 325-328
[10] Kennedy J,Eberhart R.Particle Swarm Optimization.Proceeding of the IEEE International Conference on Neural Networks,1995,1942-1948
[11] Eberhart R C,Shi Y.Particle Swarm Optimization: Developments,Applications and Resources.Proceedings of the IEEE Con-gress on Evolutionary Computation.Piscataway,2001,81-86 |
|
|
|
相关文献: |
|
|
1．姚从潮, 王新民, 陈晓, 尹海韬.基于改进多目标遗传算法的再入飞行控制分配研究[J]. 西北工业大学, 2014,32(2): 315-322 |
|
|
2．邬晓敬, 肖华, 张伟伟, 宋述芳, 吕震宙.一种基于试验模态参数的结构边界条件优化设计方法[J]. 西北工业大学, 2014,32(5): 707-712 |
|
|
3．刘洋, 章卫国, 李广文, 史静平.一种三维环境中的无人机多路径规划方法[J]. 西北工业大学, 2014,32(3): 412-416 |
|
|
4．何建华, 王安龙, 陈松, 张越, 刘琨, 赵焕义.基于改进MOSFLA的多机协同任务分配[J]. 西北工业大学, 2014,32(4): 630-636 |
|
|
5．刘燕, 焦永昌, 张亚明, 程伟.基于分解的多目标入侵杂草算法用于阵列天线方向图综合[J]. 西北工业大学, 2014,32(6): 981-986 |
|
|
6．刘志君, 高亚奎, 章卫国, 胡云池.基于ADEMO/D-ENS算法的表决冗余系统多目标可靠度优化与分配[J]. 西北工业大学, 2014,32(6): 987-993 |
|
|
7．王海涛, 蒋经凯.飞机起落架主动控制与滑跑性能优化研究[J]. 西北工业大学, 2013,31(2): 223-228 |
|
|
8．鲁鹏, 章卫国, 李广文, 刘小雄, 李想.一种基于杂草克隆的多目标粒子群算法[J]. 西北工业大学, 2012,30(2): 286-290 |
|
|
|
|
|
|
