| 复杂系统可靠性冗余的蚁群优化算法 |
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| 引用本文： | 程世娟,卢伟,何平.复杂系统可靠性冗余的蚁群优化算法[J].机械强度,2010,32(1). |
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| 作者姓名： | 程世娟 卢伟 何平 |
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| 作者单位： | 1. 西南交通大学,数学学院,成都,610031
2. 西华大学,数学与计算机学院,成都610039 |
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| 基金项目： | 国家863计划资助项目(2006AA04Z406)~~ |
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| 摘 要： | 冗余技术是提高系统可靠性的有效方法。复杂系统的冗余优化设计是典型的non-deterministic poly-nominal问题,至今还没有很好的解决。用蚁群优化算法解决复杂系统可靠性冗余问题。把系统结构向量化,将复杂系统转化为分级网络,把信息素集中在网络的节点,作为节点对蚂蚁的吸引强度,指导蚂蚁在各级节点内搜索解向量的各级对应分量。采用与系统属性有关的罚函数,加快解的进化过程。仿真结果及与其他算法的比较表明算法的有效性。
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| 关 键 词： | 蚁群优化算法 复杂系统 信息素更新规则 冗余 |
ANT COLONY OPTIMIZATION OF RELIABILITY REDUNDANCY IN COMPLEX SYSTEM |
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| CHENG ShiJuan,LU Wei,HE Ping.ANT COLONY OPTIMIZATION OF RELIABILITY REDUNDANCY IN COMPLEX SYSTEM[J].Journal of Mechanical Strength,2010,32(1). |
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| Authors: | CHENG ShiJuan LU Wei HE Ping |
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| Affiliation: | 1. School of Mathematics/a>;Southwest Jiaotong University/a>;Chengdu 610031/a>;China;2. College of Computer and Mathematics/a>;Xihua University/a>;Chengdu 610039/a>;China |
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| Abstract: | Redundancy technology is an important method of improving reliability and security in system. The optimization in complex system is a well known non-deterministic poly-nominal problem,and has no satisfied method up to now. An ant colony optimization (ACO) was successfully adopted to solve this problem. A vector was introduced to describe the system structure,the complex system was transferred into a network with different node levels. Put pheromone on nodes as strength of attraction to ants. Ants guided by ... |
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| Keywords: | Ant colony optimization Complex system Pheromone update rule Reliability redundancy |
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