| 基于粒子群优化算法的复杂船舶电力系统脆性研究 |
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| 引用本文： | 陈瑞平,朱志宇.基于粒子群优化算法的复杂船舶电力系统脆性研究[J].现代电子技术,2012,35(1):135-138. |
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| 作者姓名： | 陈瑞平 朱志宇 |
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| 作者单位： | 江苏科技大学电子信息学院,江苏镇江,212003 |
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| 摘 要： | 针对复杂船舶电力系统的研究,提出一种复杂系统脆性分析的方法。建立了复杂船舶电力系统脆性的赋权图模型,以图的边描述子系统之间的脆性联系,边的权值描述子系统之间的脆性联系程度,并且定义了系统最大崩溃路径,提出了一种求解系统最大崩溃路径的粒子群优化算法。为了进一步说明问题,又以Matlab仿真为例验证了新算法,并对算法中参数的选取进行了讨论。
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| 关 键 词： | 船舶电力系统 脆性分析 粒子群优化算法 崩溃路径 |
Research on brittleness of complex ship power electric system based on particle swarm optimization |
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| CHEN Rui-ping
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ZHU Zhi-yu.Research on brittleness of complex ship power electric system based on particle swarm optimization[J].Modern Electronic Technique,2012,35(1):135-138. |
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| Authors: | CHEN Rui-ping ZHU Zhi-yu |
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| Affiliation: | (School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang 212003,China) |
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| Abstract: | The brittleness analysis of complex systems is presented focused on the complex ship power electric systems.A brittleness model of complex ship power electric systems based on weighted graph is set up.In the model,the edges describe the brittleness link between two subsystems,and the weight of edges describe the degree of brittleness link between two subsystems.An improved particle swarm optimization algorithm is presented to seek out the most possible collapse path after the collapse path is defined.In order to test the algorithm,MATLAB is regarded as an illustrative example.The choice of para-meters in algorithm is discussed. |
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| Keywords: | ship power electric system brittleness analysis particle swarm optimization algorithm collapse path |
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