OptCE: A Counterexample-Guided Inductive Optimization Solver [chapter]

Higo F. Albuquerque, Rodrigo F. Araújo, Iury V. Bessa, Lucas C. Cordeiro, Eddie B. de Lima Filho
2017 Lecture Notes in Computer Science  
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
more » ... al 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.
doi:10.1007/978-3-319-70848-5_9 fatcat:sedr7oktbja5dm7kyibq32krqu