Vaccination mechanism application in evolutionary computation

The research of artificial immune systems (AIS), which, inspired by the vertebrate immune mechanism, has become one of the hot issues in the artificial intelligence fields. A new algorithm is proposed in this paper based on the immunological vaccination mechanism, which includes three parts: 1) checking of gene loss, 2) vaccinating, and 3) producing memory. Integrated with evolutionary computation, the proposed algorithm can solve the problem of prematurity and speed up to approach the global optimal fitness values. Finally, the algorithm is used to optimize two different complex functions for testing. The simulation results show that the algorithm is more effective and valid compared with other algorithms.