摘要
研究三-状态具有不同元件并联构成的串-并联(简称S-P)网络的可靠性优化问题.利用Matlab做计算工具,用微粒群算法对问题的实例进行模拟仿真.结果表明:在通常的初始解条件下,微粒群算法每次运行都能收敛,并且能够给出系统的最优解;与模拟退火算法、蚁群算法和遗传算法相比较,微粒群算法可以更方便、高效地给出系统的最优解.
Reliability optimization of 3-state series-parallel(S-P) network with parallel different components is studied.Using Matlab as a calculation tool,Particle swarm optimization algorithm is applied to simulate the actual problem in S-P network.The findings indicate that the operation of particle swarm algorithm every time is convergent under the initialized condition,which gives an optimal solution to the system.Compared with the simulated annealing algorithm,the ant colony algorithm and the genetic algorithm,particle swarm algorithm constantly gives the optimal solution to the system in an effective and convenient manner.
引文
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