Efficient exact optimization of multi-objective redundancy allocation problems in series-parallel systems
Tóm tắt
Từ khóa
Tài liệu tham khảo
Oiddir, 2004, Ant colony optimization for new redesign problem of multi-state electrical power systems, Journal of Electrical Engineering, 55, 57
Levitin, 2001, A new approach to solving problem of multistate system reliability optimization, Quality and Reliability Engineering International, 17, 93, 10.1002/qre.388
Lyu, 2002, Optimal allocation of test resources for software reliability growth modeling in software development, IEEE Transactions on Reliability, 51, 183, 10.1109/TR.2002.1011524
Bellman, 1958, Dynamic programming and the reliability of multicomponent devices, Operations Research, 6, 200, 10.1287/opre.6.2.200
Misra, 1971, Dynamic programming formulation of the redundancy allocation problem, International Journal of Mathematical Education in Science and Technology, 2, 207, 10.1080/0020739710020301
Fyffe, 1968, System reliability allocation and a computational algorithm, IEEE Transaction on Reliability, 17, 64, 10.1109/TR.1968.5217517
Bulfin, 1985, Optimal allocation of redundant components for large systems, IEEE Transactions on Reliability, 34, 241, 10.1109/TR.1985.5222133
Misra, 1991, An efficient algorithm to solve integer-programming problems arising in system-reliability design, IEEE Transactions on Reliability, 40, 81, 10.1109/24.75341
Billionnet, 2008, Redundancy allocation for series-parallel systems using integer linear programming, IEEE Transactions on Reliability, 57, 507, 10.1109/TR.2008.927807
Coit, 1996, Reliability optimization of series-parallel systems using a genetic algorithm, IEEE Transactions on Reliability, 45, 254, 10.1109/24.510811
Liang, 2004, An ant colony optimization algorithm for the redundancy allocation problem (RAP), IEEE Transactions on Reliability, 53, 417, 10.1109/TR.2004.832816
Painton, 1995, Genetic algorithms in optimization of system reliability, IEEE Transactions on Reliability, 44, 172, 10.1109/24.387368
Kulturel-Konak, 2003, Efficiently solving the redundancy allocation problem using tabu search, IIE Transactions, 35, 515, 10.1080/07408170304422
Ravi, 1997, Nonequilibrium simulated annealing-algorithm applied to reliability optimization of complex systems, IEEE Transactions on Reliability, 46, 233, 10.1109/24.589951
Ramirez-Marquez, 2004, A heuristic for solving the redundancy allocation problem for multi-state series-parallel systems, Reliability Engineering & System Safety, 83, 341, 10.1016/j.ress.2003.10.010
Tillman, 1977, Determining component reliability and redundancy for optimum system reliability, IEEE Transactions on Reliability, 26, 162, 10.1109/TR.1977.5220102
Zia, 2010, Redundancy allocation for series-parallel systems using a column generation approach, IEEE Transactions on Reliability, 59, 706, 10.1109/TR.2010.2085530
Dhingra, 1992, Optimal apportionment of reliability and redundancy in series systems under multiple objectives, IEEE Transactions on Reliability, 41, 576, 10.1109/24.249589
Zafiropoulos, 2004, Reliability and cost optimization of electronic devices considering the component failure rate uncertainty, Reliability Engineering & System Safety, 84, 271, 10.1016/j.ress.2003.11.012
Busacca, 2001, Multiobjective optimization by genetic algorithms: application to safety systems, Reliability Engineering & System Safety, 72, 59, 10.1016/S0951-8320(00)00109-5
Tian, 2006, Redundancy allocation for multi-state systems using physical programming and genetic algorithms, Reliability Engineering & System Safety, 91, 1049, 10.1016/j.ress.2005.11.039
Marseguerra, 2004, A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system, Reliability Engineering & System Safety, 84, 87, 10.1016/S0951-8320(03)00175-3
Taboada, 2007, Practical solutions for multi-objective optimization: an application to system reliability design problems, Reliability Engineering & System Safety, 92, 314, 10.1016/j.ress.2006.04.014
Taboada, 2008, MOMS-GA: A multi-objective multi-state genetic algorithm for system reliability optimization design problems, IEEE Transactions on Reliability, 57, 182, 10.1109/TR.2008.916874
Kulturel-Konak, 2008, Pruned pareto-optimal sets for the system redundancy allocation problem based on multiple prioritized objectives, Journal of Heuristics, 14, 335, 10.1007/s10732-007-9041-3
Salazar, 2006, Optimization of constrained multiple-objective reliability problems using evolutionary algorithms, Reliability Engineering & System Safety, 91, 1057, 10.1016/j.ress.2005.11.040
Deb, 2002, A fast and elitist multiobjective genetic algorithm: NSGA-I, IEEE Transactions on Evolutionary Computation, 6, 182, 10.1109/4235.996017
Chankong, 1983
Ozlen, 2009, Multi-objective integer programming: a general approach for generating all non-dominated solutions, European Journal of Operational Research, 199, 25, 10.1016/j.ejor.2008.10.023
Taboada, 2012, A new multiple objective evolutionary algorithm for reliability optimization of series-parallel systems, International Journal of Applied Evolutionary Computation, 3, 1, 10.4018/jaec.2012040101
Deb K. Multi-objective NSGA-II code in C; 2005. Available from: 〈http://www.iitk.ac.in/kangal/codes.shtml〉.
Ehrgott, 2005, vol. 491
Yukish M. Algorithms to identify pareto pointsin multi-dimensional data sets. PhD thesis, Pennsylvania State University; August, 2004, p. 1–126.
Messac, 2003, The normalized normal constraint method for generating the Pareto frontier, Structural and Multidisciplinary Optimization, 25, 86, 10.1007/s00158-002-0276-1
Das, 1998, Normal-boundary intersection: a new method for generating the Pareto surface in nonlinear multicriteria optimization problems, SIAM Journal on Optimization, 8, 631, 10.1137/S1052623496307510
Taboada, 2007, Practical solutions for multi-objective optimization: an application to system reliability design problems, Reliability Engineering & System Safety, 92, 314, 10.1016/j.ress.2006.04.014
Taboada, 2007, Data clustering of solutions for multiple objective system reliability optimization problems, Quality Technology & Quantitative Management Journal, 4, 35