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Guided Rule-Based Multi-objective Optimization for Real-Time Distributed Systems
2015
2015 41st Euromicro Conference on Software Engineering and Advanced Applications
Automated optimization of real-time architectures with respect to cost, performance, robustness and safety has received considerable attention in the last decade. In this paper, we present an automated Design Space Exploration (DSE) method based on both a multi-objective genetic algorithm and a heuristic particle-swarm-optimization technique. The optimization process is guided to desired solutions by weight coefficients that are assigned to the system objectives. The proposed method
doi:10.1109/seaa.2015.35
dblp:conf/euromicro/Triantafyllidis15
fatcat:7hijdrhhgfc6hct7c3g4i26t7e