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A rudimentary version of MathSAT optimization

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Remarks:
(1) The core procedure accepts maximization only
(2) Add lazy initialization to min_maximize_cmd
(3) The procedure isn't working with composite objective yet.
This commit is contained in:
Anh-Dung Phan 2013-10-18 18:00:24 -07:00
parent 898609a3ef
commit a44044fb15
8 changed files with 114 additions and 33 deletions
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17
src/opt/opt_solver.cpp
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@ -7,6 +7,7 @@ namespace opt {
opt_solver::opt_solver(ast_manager & m, params_ref const & p, symbol const & l):
solver_na2as(m),
m_manager(m),
m_params(p),
m_context(m, m_params),
m_objective_enabled(false) {
@ -48,6 +49,7 @@ namespace opt {
smt::context& ctx = m_context.get_context();
smt::theory_id arith_id = m_context.m().get_family_id("arith");
smt::theory* arith_theory = ctx.get_theory(arith_id);
if (typeid(smt::theory_mi_arith) == typeid(*arith_theory)) {
return dynamic_cast<smt::theory_mi_arith&>(*arith_theory);
}
@ -64,8 +66,14 @@ namespace opt {
lbool opt_solver::check_sat_core(unsigned num_assumptions, expr * const * assumptions) {
TRACE("opt_solver_na2as", tout << "smt_opt_solver::check_sat_core: " << num_assumptions << "\n";);
lbool r = m_context.check(num_assumptions, assumptions);
if (r == l_true &&& m_objective_enabled) {
VERIFY(get_optimizer().max_min(m_objective_var, false));
if (r == l_true && m_objective_enabled) {
bool is_bounded = get_optimizer().max(m_objective_var);
if (is_bounded) {
m_objective_value = get_optimizer().get_objective_value(m_objective_var);
} else {
optional<rational> r;
m_objective_value = r;
}
}
return r;
}
@ -123,4 +131,9 @@ namespace opt {
void opt_solver::toggle_objective(bool enable) {
m_objective_enabled = enable;
}
optional<rational> opt_solver::get_objective_value() {
return m_objective_value;
}
}