MHC INSPIRED IMMUNE EVOLUTIONARY ALGORITHM (MHCIEA) FOR NUMERICAL FUNCTION OPTIMIZATION
(0) 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 immunesystem 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 thatthe performance of MHCIEA is better than others applied techniques.
Major histocompatibility complex immune evolutionary algorithm function optimization
MIN HU GENG-FENG WU
Sydney Institute of Language and Commerce, Shanghai University, 200072, China School of Computer Engineering and Science, Shanghai University, 200072, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2123-2130
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）