【摘要】 免疫算法是在免疫系统识别多样性的启发下所设计出的一种新的多峰值函数的寻优算法。文章针对目前人工免疫算法在收敛于全局最优方面存在的缺陷,提出了一种模拟退火免疫算法,引入Boltzmann退火选择算子,利用模拟退火算法可选择性接受恶化解的特点克服传统免疫算法的缺陷,并通过实验证明了该混合免疫算法的优越性能。更多还原

【Abstract】 Immune Algorithm is a new optimization algorithm imitating the immune system to solve the multi-modal function optimization problem.This paper proposes a Simulated Annealing Immune Algorithm for overcoming the limitation which the Artificial Immune Algorithm has in seeking the global excellent result.The experiments show that the hybrid immune algorithm is more efficient than Genetic Algorithm and Artificial Immune Algorithm.更多还原