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OptCE: A Counterexample-Guided Inductive Optimization Solver
ALBUQUERQUE, H.; ARAUJO, R.; Bessa, I.; CORDEIRO, L. C.; Lima Filho, E. B
Resumo
Resumo
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.
palavras-chave
Palavras-chave
global optimizationbounded model checkingsatisfiability modulo theoriesBoolean satisfiabilitylocal minima
Status
Published
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