Simulation-based optimization for repairable systems using particle swarm algorithm

被引:5
|
作者
Alkhamis, TM [1 ]
Ahmed, MA [1 ]
机构
[1] Kuwait Univ, Dept Stat & Operat Res, Safat, Kuwait
关键词
D O I
10.1109/WSC.2005.1574332
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We describe an approach based on particle swarm optimization (PSO) for determining the optimal allocation of spares as well as repair resources while satisfying a desired availability constraint. The proposed method expands the original PSO algorithm to handle stochastic constraints and discrete decision variables. Computational results show that the proposed approach is efficient for determining the optimal choice of spares and repair channels for multi-echelon repairable-item inventory systems.
引用
收藏
页码:857 / 861
页数:5
相关论文
共 50 条
  • [1] Comparison of genetic algorithm to particle swarm for constrained simulation-based optimization of a geothermal power plant
    Clarke, Joshua
    McLay, Laura
    McLeskey, James T., Jr.
    ADVANCED ENGINEERING INFORMATICS, 2014, 28 (01) : 81 - 90
  • [2] Flow simulation-based particle swarm optimization for developing improved hemolysis models
    B. Torner
    D. Frank
    S. Grundmann
    F.-H. Wurm
    Biomechanics and Modeling in Mechanobiology, 2023, 22 : 401 - 416
  • [3] Applicability of surrogates to improve efficiency of particle swarm optimization for simulation-based problems
    Parno, M. D.
    Hemker, T.
    Fowler, K. R.
    ENGINEERING OPTIMIZATION, 2012, 44 (05) : 521 - 535
  • [4] Flow simulation-based particle swarm optimization for developing improved hemolysis models
    Torner, B.
    Frank, D.
    Grundmann, S.
    Wurm, F. -H.
    BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2023, 22 (02) : 401 - 416
  • [5] ARE RANDOM COEFFICIENTS NEEDED IN PARTICLE SWARM OPTIMIZATION FOR SIMULATION-BASED SHIP DESIGN?
    Serani, Andrea
    Diez, Matteo
    VII INTERNATIONAL CONFERENCE ON COMPUTATIONAL METHODS IN MARINEENGINEERING (MARINE2017), 2017, : 48 - 59
  • [6] Redundancy allocation problem in repairable systems with variegated components: a simulation-based optimization approach
    Hadinejad, Farhad
    Amiri, Maghsoud
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2024, 94 (15) : 3301 - 3318
  • [7] An adaptive particle swarm optimization algorithm and simulation
    Zhang Dingxue
    Guan Zhihong
    Liu Xinzhi
    2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 2399 - 2402
  • [8] Simulation-based calibration of geotechnical parameters using parallel hybrid moving boundary particle swarm optimization
    Zhang, Y.
    Gallipoli, D.
    Augarde, C. E.
    COMPUTERS AND GEOTECHNICS, 2009, 36 (04) : 604 - 615
  • [9] Optimization Of Coils In Wireless Telemetry Systems Using The Particle Swarm Optimization Algorithm
    Li, Xiyan
    Wang, Miaorong
    Wang, Guoxing
    2015 8TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI), 2015, : 412 - 417
  • [10] Simulation optimization using particle swarm optimization algorithm with application to assembly line design
    Kuo, R. J.
    Yang, C. Y.
    APPLIED SOFT COMPUTING, 2011, 11 (01) : 605 - 613