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Optimization method for diagnostic sequence based on improved particle swarm optimization algorithm

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4 Author(s)
Lian Guangyao ; Ordnance Engineering Coll., Shijiazhuang 050003, P. R. China ; Huang Kaoli ; Chen Jianhui ; Gao Fenggi

To realize the requirement of diagnostic sequence optimization in the process of design for testability, the authors put forward an optimization method based on quantum-behaved particle swarm optimization (QPSO) algorithm. By a precedence ordering coding, the diagnostic sequence optimization can be translated into a precedence ordering problem in the multidimensional space of swarm. It can get the optimizing order quickly by using the powerful and quick search capability of QPSO algorithm, and the order is the diagnostic sequence for the system. The realization of the method is simpler than other methods, and the results are more excellent than others, and it has been applied in the engineering practice.

Published in:

Journal of Systems Engineering and Electronics  (Volume:20 ,  Issue: 4 )