Title
OptCE: A Counterexample-Guided Inductive Optimization Solver.
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.
Year
DOI
Venue
2017
10.1007/978-3-319-70848-5_9
Lecture Notes in Computer Science
Field
DocType
Volume
Model checking,Global optimization,Computer science,Boolean satisfiability problem,Maxima and minima,Theoretical computer science,Solver,Counterexample,Bounded function,Satisfiability modulo theories
Conference
10623
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
16
5
Name
Order
Citations
PageRank
Higo F. Albuquerque101.35
Rodrigo Araujo2203.03
Iury Bessa3569.37
Lucas Cordeiro436038.38
E. B. de Lima Filho54512.51