CAJ | 학술논문

为降低构造复杂系统可靠性优化模型的难度，利用T-S故障树构造系统故障率函数，并结合可靠性费用函数构造可靠性优化模型。针对PSO算法局部收敛性差、ACO算法搜索初期积累信息素占用时间较长的不足，将PSO算法和ACO算法混合，并结合死亡罚函数法构造适应度函数，提出混合PSO-ACO算法。考虑不同的粒子个数和蚂蚁个数，将所提算法应用于液压工作系统的可靠性优化，通过与PSO算法、ACO算法及ACO-PSO算法的对比，验证混合PSO-ACO算法的优化结果更为理想。
위강저구조복잡계통가고성우화모형적난도，이용T-S고장수구조계통고장솔함수，병결합가고성비용함수구조가고성우화모형。침대PSO산법국부수렴성차、ACO산법수색초기적루신식소점용시간교장적불족，장PSO산법화ACO산법혼합，병결합사망벌함수법구조괄응도함수，제출혼합PSO-ACO산법。고필불동적입자개수화마의개수，장소제산법응용우액압공작계통적가고성우화，통과여PSO산법、ACO산법급ACO-PSO산법적대비，험증혼합PSO-ACO산법적우화결과경위이상。
To reduce the difficulty of constructing the reliability optimization model of complex system,the T-S fault tree was ap-plied to compose the system failure rate function,and then the system reliability optimization model was constituted combining with the reliability cost function.To solve the lack of the local convergence in the PSO algorithm and low efficiency in pheromone accumulation at the beginning of search in the ACO algorithm,the PSO algorithm and the ACO algorithm were integrated,and the fitness function was formed combining with death penalty function method,hence the hybrid PSO-ACO algorithm was proposed.The optimal results of the hybrid PSO-ACO algorithm are better than the PSO algorithm,the ACO algorithm and the ACO-PSO algorithm,which are verified by reliability optimization examples of the hydraulic work system in different particle number and ant number cases.