Abstract：In this paper the basic principle of immunogenetics is described, and the traditional immunogenetics algorithm is improved. The mechanism that the antibody twice responds to the antigen is simulated. Information entropy is utilized to compute the affinity between antigens and the antibodies that have high affinity and low similarity are inherited to next generation. Best antibodies are kept in memory set then participate in evolution, which can make the algorithm avoid losing in the local optimal solution. A new phase timing optimization algorithm is proposed to discuss the problem of traffic signal control. An experiment for the traffic model at a fourphase single intersection is designed with this algorithm, and the simulation results show its feasibility and effectiveness.
顾榕，曹立明，王小平. 基于改进免疫遗传算法的交通信号优化控制*[J]. 模式识别与人工智能, 2006, 19(3): 331-337.
GU Rong, CAO LiMing, WANG XiaoPing. The Optimization for Traffic Signal Based on Improved Immunogenetic Algorithm. , 2006, 19(3): 331-337.
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2006, Vol. 19 
