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工程设计学报
Chinese Journal of Engineering Design  2006, Vol. 13 Issue (2): 74-77    DOI:
    
New algorithm for optimization of system reliability
 GAO  Shang1，2, YANG  Jing-Yu3
1. School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China; 2. Provincial Key Laboratory of Computer Information Processing Technology, Suzhou 215006,China; 3. Department of Computer Science and Technology,Nanjing University of Science and Technology, Nanjing 210094,China
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Abstract  A redundancy optimization model is established. A new method of system reliability grounded in particle swarm optimization algorithm, which combines with idea of genetic algorithm, is put forward. Through illustrations, the results show that this algorithm can achieve better effect than those of simulating annealing algorithm and genetic algorithm.

Key words： reliability optimization      simulated annealing algorithm      genetic algorithm      particle swarm algorithm     
Published: 28 April 2006
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GAO Shang
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Cite this article:

GAO Shang, YANG Jing-Yu. New algorithm for optimization of system reliability. Chinese Journal of Engineering Design, 2006, 13(2): 74-77.

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https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2006/V13/I2/74


可靠性优化的一种新的算法

建立了可靠性冗余优化模型,提出了一种基于粒子群优化算法的可靠性优化的新方法，该方法结合了遗传算法的思想。实例结果表明，粒子群算法比模拟退火算法和遗传算法效果好。

关键词： 可靠性优化,  模拟退火算法,  遗传算法,  粒子群算法 
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