关键词: 软硬件, 粒子群优化算法, 免疫克隆, 算子

Abstract: Hardware/software partitioning is one of the most important issues of the design of embedded systems. This paper described an approach based on immune particle swarm optimization algorithm. Affinity, clone copy operator, clone hyper-mutation operator and clone selection operator were redefined. The experimental results show that the algorithm can not only escape from local extreme but also improve the precision of the optimal solution.

Key words: hardware/software, Particle Swarm Optimization (PSO), immune clone, operator