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Ant colony algorithm to reliability optimization in Complex System

机译:蚁群算法在复杂系统可靠性优化中的应用

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Redundancy technology and Assignment technology are important methods of improving reliability and security in system. As is well known that the Complex System reliability optimization is a NP-hard problem. In this paper, the Ant Colony Algorithm was used successfully to solve above two questions in Complex System reliability optimization. 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 this attraction searched in all levels to find the vector components. The penalty function attributed to system speed up the process of evolution. The simulation results showed the effectiveness of the approach.
机译:冗余技术和分配技术是提高系统可靠性和安全性的重要方法。众所周知,复杂系统可靠性优化是一个NP难题。本文成功地将蚁群算法用于复杂系统可靠性优化中解决上述两个问题。引入了一个向量来描述系统结构。复杂的系统被转移到具有不同节点级别的网络中。将信息素放在节点上,以吸引蚂蚁。受此吸引力引导的蚂蚁在各个级别进行搜索以找到矢量分量。归因于系统的惩罚函数加快了进化过程。仿真结果表明了该方法的有效性。

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