关键词: 人工免疫算法, 动力学模型, 独特型网络, 优化

Abstract:

To overcome the demerits in evaluating the similarity,the concentration and the antibody of the conven.tional artificial immune algorithm ,this paper proposes an improved artificial immune algorithm based on the idioty-pic-network dynamic model by defining the antibody concentration as the fitness.In the proposed algorithm,the in-formation about the function value and the similarity of antibody can be c0mprehensiveJy extracted by modifying the calculation method of afinity.Simulated results show that the improved algorithm is effective on the optimization of multi-mode function and is of better searching eficiency and higher convergence speed than the conventional Opt-aiNet algorithm.

Key words: artificial immune algorithm, dynamic model, idiotypic network, optimization