Efficient symbolic multi-objective design space exploration

@article{Lukasiewycz2008EfficientSM,
  title={Efficient symbolic multi-objective design space exploration},
  author={Martin Lukasiewycz and Michael Gla\ss and Christian Haubelt and J{\"u}rgen Teich},
  journal={2008 Asia and South Pacific Design Automation Conference},
  year={2008},
  pages={691-696}
}
Nowadays many design space exploration tools are based on Multi-Objective Evolutionary Algorithms (MOEAs). Beside the advantages of MOEAs, there is one important drawback as MOEAs might fail in design spaces containing only a few feasible solutions or as they are often afflicted with premature convergence, i.e., the same design points are revisited again and again. Exact methods, especially Pseudo Boolean solvers (PB solvers) seem to be a solution. However, as typical design spaces are multi… CONTINUE READING
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