optimathsat

问题 How do you set a timeout for the z3 optimizer such that it will give you the best known solution when it runs out of time? from z3 import * s = Optimize() # Hard Problem print(s.check()) print(s.model()) Follow-up question, can you set z3 to randomized hill climbing or does it always perform a complete search? 回答1: Long answer short, you can't . That's simply not how the optimizer works. That is, it doesn't find a solution and then try to improve it. If you interrupt it or set a time-out,

问题 How do you set a timeout for the z3 optimizer such that it will give you the best known solution when it runs out of time? from z3 import * s = Optimize() # Hard Problem print(s.check()) print(s.model()) Follow-up question, can you set z3 to randomized hill climbing or does it always perform a complete search? 回答1: Long answer short, you can't . That's simply not how the optimizer works. That is, it doesn't find a solution and then try to improve it. If you interrupt it or set a time-out,

问题 Can we use the previous solution of a MaxSMT solver (optimize) in an incremental way in z3? Also, Is there any way to print out the soft assertions on the optimizer? 回答1: The answer is YES if you are asking whether it is technically possible to run either z3 or OptiMathSAT incrementally with a MaxSMT problem. (Use the API). All soft-clauses with the same id --at the moment in which one performs a check-sat -- are considered part of the same MaxSMT goal. In essence, the OMT solver evaluates

问题 Can we use the previous solution of a MaxSMT solver (optimize) in an incremental way in z3? Also, Is there any way to print out the soft assertions on the optimizer? 回答1: The answer is YES if you are asking whether it is technically possible to run either z3 or OptiMathSAT incrementally with a MaxSMT problem. (Use the API). All soft-clauses with the same id --at the moment in which one performs a check-sat -- are considered part of the same MaxSMT goal. In essence, the OMT solver evaluates

问题 Can we use the previous solution of a MaxSMT solver (optimize) in an incremental way in z3? Also, Is there any way to print out the soft assertions on the optimizer? 回答1: The answer is YES if you are asking whether it is technically possible to run either z3 or OptiMathSAT incrementally with a MaxSMT problem. (Use the API). All soft-clauses with the same id --at the moment in which one performs a check-sat -- are considered part of the same MaxSMT goal. In essence, the OMT solver evaluates