OptCE: A Counterexample-Guided Inductive Optimization Solver

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Authors:
  • Higo F. Albuquerque
  • Rodrigo F. Araújo
  • Iury V. Bessa
  • Lucas C. Cordeiro
  • Eddie B. De Lima Filho

Abstract

This paper presents optimization through counterexamples (OptCE), which is a verification tool developed for optimizing target functions. In particular, OptCE employs bounded model checking techniques based on boolean satisfiability and satisfiability modulo theories, which are able to obtain global minima of convex and non-convex functions. OptCE is implemented in C/C ++++ , performs all optimization steps automatically, and iteratively analyzes counterexamples, in order to inductively achieve global optimization based on a verification oracle. Experimental results show that OptCE can effectively find optimal solutions for all evaluated benchmarks, while traditional techniques are usually trapped by local minima.

Bibliographical metadata

Original languageEnglish
Title of host publicationBrazilian Symposium on Formal Methods
Pages125-141
Number of pages16
DOIs
Publication statusPublished - 2017

Publication series

NameFormal Methods: Foundations and Applications
Volume10623
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349