Immune-Endocrine Genetic Algorithm for Multi-user Detector Problem

In this paper, combining the endocrine mechanism and immune genetic algorithm immune-endocrine genetic algorithm (IEGA) for multi-user detector problem is proposed. The convergence properties of the IEGA are studied. It is proved that the IEGA converge to global optimum with probability 1. Finally, the experimental results demonstrate that the IEGA is better than some existed algorithms.