SPaC: a symbolic pareto calculator

H. Shojaei, T. Basten, M. Geilen, Phillip Stanley-Marbell
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引用次数: 6

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.
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符号帕累托计算器
多维优化问题中Pareto点的组合计算是有效探索优化空间的重要手段。本文提出了一种用于多维权衡代数计算的符号帕累托计算器(SPaC)。SPaC使用bdd作为解决方案集及其操作的表示。该工具可用于嵌入式系统的多准则优化和设计空间探索。本文描述了Pareto代数运算的设计和实现,并证明了bdd可以有效地用于Pareto优化。
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