Name
Title | ||
|---|---|---|
A simulation optimization approach for design space exploration of soft real-time embedded systems |
Abstract | ||
|---|---|---|
In this work, the problem of design space exploration of soft real-time embedded systems is formulated as a stochastic simulation optimization problem. A novel multiobjective genetic algorithm is proposed to address this problem. In the proposed algorithm, design metrics such as price and size are optimized while deadline violations are minimized. Experimental results show the advantages of our approach over previous work that consider no deadline violation is tolerable. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CEC.2013.6557905 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
embedded systems,genetic algorithms,logic design,deadline violation,design price metric,design size metric,design space exploration,multiobjective genetic algorithm,soft realtime embedded system,stochastic simulation optimization problem,multi-objective optimization,soft real-time embedded systems,stochastic simulation | Logic synthesis,Stochastic simulation,Mathematical optimization,Computer science,Design space exploration,Optimization problem,Genetic algorithm,Embedded system | Conference |
ISBN | Citations | PageRank |
978-1-4799-0452-5 | 2 | 0.36 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Costa e Silva Nogueira | 1 | 28 | 4.22 |
| Paulo Romero Martins Maciel | 2 | 363 | 59.24 |
| Ricardo Martins | 3 | 2 | 0.36 |
| Eduardo Tavares | 4 | 161 | 25.22 |