SPaC: a symbolic pareto calculator

Abstract

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 multidimensional 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.