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Local Search Optimization of Memetic Algorithm During The Register Allocation in Embedded System

Rui Tao, Yang Li, Wenwu Tian, Jingxiu Cao


To improve the register allocation performance in the embedded system, Memetic algorithm is adopted and optimized by local search method. After analyzing the crossover operator of original hybrid evolutionary algorithm and considering the influence of spill cost of intermediate variables, an optimized Memetic algorithm is obtained by local search methods based on 2-opt, Insert and Swap to improve the probability of being selected. Experiments show that in the same condition of node number, edge density and register density, the algorithm proposed in this paper is superior to heuristic algorithm and hybrid evolutionary algorithm in spill cost and spilled variables.


embedded system, register allocation, Memetic algorithm, local search, spill degree.

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