并行人工免疫系统的塔式主从模型

his paper presents a towerlike master-slave model (TMSM) for parallel artificial immune systems. Based on TMSM, the parallel immune memory clonal selection algorithm (PIMCSA) is also proposed. TMSM is a two level coarse-grained parallel artificial immune model with distributed immune response and distributed immune memory. In PIMCSA, vaccines are extracted and migrated between populations rather than antibodies as has been done in parallel genetic algorithms, it is a good balance between the diversity maintenance of populations and the convergent speed of the algorithm. Experimental results on the function optimization and TSP problems show that PIMCSA achieves good performance in terms of both solution quality and computation time.