A simulation optimization approach for design space exploration of soft real-time embedded systems

摘要: In this work, the problem of design space exploration soft real-time embedded systems is formulated as a stochastic simulation optimization problem. A novel multiobjective genetic algorithm proposed to address algorithm, metrics such price and size are optimized while deadline violations minimized. Experimental results show advantages our approach over previous work that consider no violation tolerable.