Abstract: As a novel branch of computational intelligence, artificial immune system has strong capabilities of informalion processing and problem-solving paradigm. hhe detector generation is the key technology in constructing artificial immune system and has been the research hotspot in computational intelligence. This paper analysed the traditional delector generating algorithm Based on self-mutation mechanism and bland template technology, a self-mutation detector generating algorithm(SMDGA) was proposed.The principle, template definition and implementation steps of the SMDGA were described, and the performance and complexity of the SMDGA were analyzed. Both mathematical analysis and experiments show that SMDGA has the advantages in reducing the size of detector set and improving detecting efficicncy.

Key words: Artificial immune system,Detector,Detector generating algorithm,Self mutation