TY - JOUR
T1 - Reliability optimization of a series-parallel system with fuzzy random lifetimes
AU - Wang, Shuming
AU - Watada, Junzo
PY - 2009/6
Y1 - 2009/6
N2 - This paper studies reliability optimization of a series-parallel system with fuzzy random lifetimes. A fuzzy random reliability model is developed to maximize the system reliability. Since the reliability function consists of fuzzy random parameters, classical mathematical programming methods is not applicable to the reliability model. Therefore, in order to solve the model, a fuzzy random simulation method is first proposed to compute the system reliability, and a theorem is proved which ensures the convergence of the fuzzy random simulation. Furthermore, a hybrid binary particle swarm optimization (BPSO) algorithm incorporating the fuzzy random simulation is proposed. Finally, a numerical example is provided to illustrate the proposed hybrid algorithm.
AB - This paper studies reliability optimization of a series-parallel system with fuzzy random lifetimes. A fuzzy random reliability model is developed to maximize the system reliability. Since the reliability function consists of fuzzy random parameters, classical mathematical programming methods is not applicable to the reliability model. Therefore, in order to solve the model, a fuzzy random simulation method is first proposed to compute the system reliability, and a theorem is proved which ensures the convergence of the fuzzy random simulation. Furthermore, a hybrid binary particle swarm optimization (BPSO) algorithm incorporating the fuzzy random simulation is proposed. Finally, a numerical example is provided to illustrate the proposed hybrid algorithm.
KW - Binary particle swarm optimization (BPSO)
KW - Convergence
KW - Fuzzy random variable
KW - Reliability
KW - Series-parallel system
UR - http://www.scopus.com/inward/record.url?scp=67649385994&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649385994&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:67649385994
VL - 5
SP - 1547
EP - 1558
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
SN - 1349-4198
IS - 6
ER -