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z3/src/opt/opt_pareto.cpp
Nikolaj Bjorner 8eeaa27cf3 remove interp from documentation
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
2018-05-25 07:33:43 -07:00

109 lines
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C++

/*++
Copyright (c) 2014 Microsoft Corporation
Module Name:
opt_pareto.cpp
Abstract:
Pareto front utilities
Author:
Nikolaj Bjorner (nbjorner) 2014-4-24
Notes:
--*/
#include "opt/opt_pareto.h"
#include "ast/ast_pp.h"
#include "ast/ast_util.h"
#include "model/model_smt2_pp.h"
namespace opt {
// ---------------------
// GIA pareto algorithm
lbool gia_pareto::operator()() {
expr_ref fml(m);
lbool is_sat = m_solver->check_sat(0, nullptr);
if (is_sat == l_true) {
{
solver::scoped_push _s(*m_solver.get());
while (is_sat == l_true) {
if (m.canceled()) {
return l_undef;
}
m_solver->get_model(m_model);
m_solver->get_labels(m_labels);
IF_VERBOSE(1,
model_ref mdl(m_model);
cb.fix_model(mdl);
model_smt2_pp(verbose_stream() << "new model:\n", m, *mdl, 0););
// TBD: we can also use local search to tune solution coordinate-wise.
mk_dominates();
is_sat = m_solver->check_sat(0, nullptr);
}
}
if (is_sat == l_undef) {
return l_undef;
}
SASSERT(is_sat == l_false);
is_sat = l_true;
mk_not_dominated_by();
}
return is_sat;
}
void pareto_base::mk_dominates() {
unsigned sz = cb.num_objectives();
expr_ref fml(m);
expr_ref_vector gt(m), fmls(m);
for (unsigned i = 0; i < sz; ++i) {
fmls.push_back(cb.mk_ge(i, m_model));
gt.push_back(cb.mk_gt(i, m_model));
}
fmls.push_back(mk_or(gt));
fml = mk_and(fmls);
IF_VERBOSE(10, verbose_stream() << "dominates: " << fml << "\n";);
TRACE("opt", tout << fml << "\n"; model_smt2_pp(tout, m, *m_model, 0););
m_solver->assert_expr(fml);
}
void pareto_base::mk_not_dominated_by() {
unsigned sz = cb.num_objectives();
expr_ref fml(m);
expr_ref_vector le(m);
for (unsigned i = 0; i < sz; ++i) {
le.push_back(cb.mk_le(i, m_model));
}
fml = m.mk_not(mk_and(le));
IF_VERBOSE(10, verbose_stream() << "not dominated by: " << fml << "\n";);
TRACE("opt", tout << fml << "\n";);
m_solver->assert_expr(fml);
}
// ---------------------------------
// OIA algorithm (without filtering)
lbool oia_pareto::operator()() {
solver::scoped_push _s(*m_solver.get());
lbool is_sat = m_solver->check_sat(0, nullptr);
if (m.canceled()) {
is_sat = l_undef;
}
if (is_sat == l_true) {
m_solver->get_model(m_model);
m_solver->get_labels(m_labels);
mk_not_dominated_by();
}
return is_sat;
}
}