Mhc Inspired Immune Evolutionary Algorithm (Mhciea) for Numerical Function Optimization

The protein major histocompatibility complex (MHC) plays a critical role in immune system with important biological functions. Inspired by the features of MHC, this paper presents an immune evolutionary algorithm (MHCIEA). This algorithm uses the metaphor of mapping "optimization problem solving" onto the model of immune system with MHC, which is defined as a sub-solution to accelerate optimization process. The four numerical function optimization problems are considered to verify the performance of the algorithm. In this paper we compare the performance of MHCIEA with DE, PSO and real-valued GA regarding their general applicability as numerical optimization techniques. The results from our study show that the performance of MHCIEA is better than others applied techniques