A clone selection algorithm with niching strategy inspiring by biological immune principles for change detection

摘要

This paper presents a clone selection algorithm with niching strategy (NCSA) for computer immune system. Based on the two bio-inspired concepts namely, negative selection and clone selection, joining mutation operator in genetic algorithms (GA) and niching strategy in biology is adopted, the number of detectors is decreased effectively and the ability on self-nonself discrimination is improved. Simulation experiment shows that the algorithm is simple, practical and adapts to the change detection for long files.