Abstract
In order to better solve dynamic data structures optimization in embedded system, this paper combined NSGA-II and SPEA2, and adopted island model and multi-thread technique to describe a parallel multi-objective evolutionary algorithm. Using its specific three parallel algorithms and sequential NSGA-II and SPEA2, one embedded application on multi-core architecture was optimized in experiment. The results show that not only the speed of optimization process is enhanced, but also the quality and the variety of the solutions was improved.
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