SPaC: A Symbolic Pareto Calculator
The compositional computation of Pareto points in multi-dimensional optimization problems is an important means to efficiently explore the optimization space. This paper presents a symbolic Pareto calculator, SPaC, for the algebraic computation of multi-dimensional trade-offs. SPaC uses BDDs as a representation for solution sets and operations on them. The tool can be used in multi-criteria optimization and design-space exploration of embedded systems. The paper describes the design and implementation of Pareto algebra operations, and it shows that BDDs can be used effectively in Pareto optimization.
(pdf version of the complete paper)
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