Abstract: Inspired by theory of biological immune receptor editing,a receptor editing-inspired real negative selection algorithm(RERNS) was proposed. For the detector that matches self,algorithm uses directional receptor editing to make a new life. These new detectors are located in the area of self and non-self boundary, thereby the diversity of detector is increased and the boundary covered by the algorithm is also improved. For the detector that does not match self , algorithm uses direction receptor editing for identifying identical nearest self to expand coverage of no-self space under the circumstances of containing original scope of detector. Theoretical analysis and experimental verification show that RERNS algorithm generates less un-mature detectors and obtains better detection performance than the most representative RNS algorithm and V-detector algorithm.

Key words: Artificial immune system,Negative selection algorithm,Receptor editing