免疫算法是受生物免疫系统的启发而推出的一种新型的智能搜索算法，是一种确定性和随机性选择相结合并具有"勘探"与"开采"能力的启发式随机搜索算法。
算法主要的步骤:
　　 (1)抗原识别与初始抗体产生。
　　 (2)抗体评价
　　 (3)免疫操作
　 免疫算法的特点:
　　 (1)全局搜索能力
　　 (2)多样性保持机制
　　 (3)鲁棒性强
　　 (4)并行分布式搜索机制(A new intelligent immune algorithm is inspired by the biological immune system and the introduction of the search algorithm is a deterministic and random selection are combined with "heuristic random search algorithm exploration" and "Exploitation" ability.
Main steps of the algorithm:
(1) antigen recognition and initial antibody production.
(2) antibody evaluation
(3) immunization
Characteristics of immune algorithm:
(1) global search capability
(2) diversity retention mechanism
(3) robust
(4) parallel distributed search mechanism)