Abstract
Based on the biological immune system, the authors propose a new immune population network algorithm which combines population immune algorithm and network immune algorithm in this paper. This algorithm could execute multi-point parallel search from local to global searching field, increasing the diversity of antigen population and the ability of searching maximum. At last, we apply this algorithm to the fault diagnosis system and simulation results indicate that the algorithm could recognize the fault correctly.
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