Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 987-993 |
| Number of pages | 7 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 32 |
| Issue number | 6 |
| State | Published - 1 Dec 2014 |
Keywords
- Aduptive algorithm
- Differential evolution
- Differertial euluting
- Multiobjective optimization
- Redundanay
- Reliability
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