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.
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