TY - JOUR
T1 - Multi-objective reliability optimization and allocation of redundancy system with voting based on ADEMO/D-ENS algorithm
AU - Liu, Zhijun
AU - Gao, Yakui
AU - Zhang, Weiguo
AU - Hu, Yunchi
N1 - Publisher Copyright:
©, 2014, Northwestern Polytechnical University. All right reserved.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - In order to solve optimization and allocation of multi-objective reliability redundancy system with voting, a novel algorithm based on decomposition with ensemble of neighborhood sizes and multi-objective adaptive differential evolutionary algorithm (ADEMO/D-ENS) is proposed, which combines the decomposition with variable neighborhood sizes and probability matching adaptive differential algorithm. The proposed algorithm not only overcomes drawbacks of the classical differential evolutionary method, but also solves selection of neighborhood size based on decomposition technique. Simulation contrast between ADEMO/D-ENS algorithm and NSGA-2 was done. Finally, the proposed algorithm was employed to do multi-objective reliability and cost optimization of a certain system, and the pareto front between system reliability and cost is obtained. Meanwhile, component reliability and redundancies, which the decision maker may be interested in, were given.
AB - In order to solve optimization and allocation of multi-objective reliability redundancy system with voting, a novel algorithm based on decomposition with ensemble of neighborhood sizes and multi-objective adaptive differential evolutionary algorithm (ADEMO/D-ENS) is proposed, which combines the decomposition with variable neighborhood sizes and probability matching adaptive differential algorithm. The proposed algorithm not only overcomes drawbacks of the classical differential evolutionary method, but also solves selection of neighborhood size based on decomposition technique. Simulation contrast between ADEMO/D-ENS algorithm and NSGA-2 was done. Finally, the proposed algorithm was employed to do multi-objective reliability and cost optimization of a certain system, and the pareto front between system reliability and cost is obtained. Meanwhile, component reliability and redundancies, which the decision maker may be interested in, were given.
KW - Aduptive algorithm
KW - Differential evolution
KW - Differertial euluting
KW - Multiobjective optimization
KW - Redundanay
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=84921026738&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:84921026738
SN - 1000-2758
VL - 32
SP - 987
EP - 993
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 6
ER -