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https://github.com/Z3Prover/z3
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adding skeleton for local search
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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77aac8d96f
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747ff19aba
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@ -12,6 +12,7 @@ z3_add_component(sat
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sat_elim_eqs.cpp
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sat_iff3_finder.cpp
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sat_integrity_checker.cpp
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sat_local_search.cpp
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sat_model_converter.cpp
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sat_mus.cpp
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sat_parallel.cpp
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77
src/sat/sat_local_search.cpp
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77
src/sat/sat_local_search.cpp
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/*++
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Copyright (c) 2017 Microsoft Corporation
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Module Name:
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sat_local_search.cpp
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Abstract:
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Local search module for cardinality clauses.
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Author:
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Sixue Liu 2017-2-21
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Notes:
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--*/
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#include "sat_local_search.h"
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namespace sat {
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void local_search::init() {
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}
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bool_var local_search::pick_var() {
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return null_bool_var;
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}
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void local_search::flip(bool_var v) {
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}
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bool local_search::tie_breaker_sat(int, int) {
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return false;
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}
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bool local_search::tie_breaker_ccd(int, int) {
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return false;
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}
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void local_search::calculate_and_update_ob() {
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}
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void local_search::verify_solution() {
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}
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void local_search::display(std::ostream& out) {
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}
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local_search::local_search(solver& s) {
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}
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local_search::~local_search() {
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}
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void local_search::add_soft(literal l, double weight) {
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}
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lbool local_search::operator()() {
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return l_undef;
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}
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}
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125
src/sat/sat_local_search.h
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125
src/sat/sat_local_search.h
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/*++
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Copyright (c) 2017 Microsoft Corporation
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Module Name:
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sat_local_search.h
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Abstract:
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Local search module for cardinality clauses.
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Author:
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Sixue Liu 2017-2-21
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Notes:
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--*/
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#ifndef _SAT_LOCAL_SEARCH_H_
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#define _SAT_LOCAL_SEARCH_H_
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#include "vector.h"
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#include "sat_types.h"
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namespace sat {
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class local_search {
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typedef svector<bool> bool_vector;
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// data structure for a term in objective function
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struct ob_term {
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int var_id; // variable id, begin with 1
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int coefficient; // non-zero integer
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};
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// data structure for a term in constraint
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struct term {
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int constraint_id; // constraint it belongs to
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int var_id; // variable id, begin with 1
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bool sense; // 1 for positive, 0 for negative
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//int coefficient; // all constraints are cardinality: coefficient=1
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};
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// parameters of the instance
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int num_vars; // var index from 1 to num_vars
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int num_constraints; // constraint index from 1 to num_constraint
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int max_constraint_len;
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int min_constraint_len;
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// objective function: maximize
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int ob_num_terms; // how many terms are in the objective function
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ob_term* ob_constraint; // the objective function *constraint*, sorting as decending order
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// terms arrays
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vector<svector<term> > var_term; //var_term[i][j] means the j'th term of var i
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vector<svector<term> > constraint_term; // constraint_term[i][j] means the j'th term of constraint i
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// information about the variable
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int_vector coefficient_in_ob_constraint; // initilized to be 0
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int_vector score;
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int_vector sscore; // slack score
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int_vector time_stamp; // the flip time stamp
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bool_vector conf_change; // whether its configure changes since its last flip
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int_vector cscc; // how many times its constraint state configure changes since its last flip
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vector<int_vector> var_neighbor; // all of its neighborhoods variable
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/* TBD: other scores */
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// information about the constraints
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int_vector constraint_k; // the right side k of a constraint
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int_vector constraint_slack; // =constraint_k[i]-true_terms[i], if >=0 then sat
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int_vector nb_slack; // constraint_k - ob_var(same in ob) - none_ob_true_terms_count. if < 0: some ob var might be flipped to false, result in an ob decreasing
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bool_vector has_true_ob_terms;
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// unsat constraint stack
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int_vector unsat_stack; // store all the unsat constraits
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int_vector index_in_unsat_stack; // which position is a contraint in the unsat_stack
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// configuration changed decreasing variables (score>0 and conf_change==true)
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int_vector goodvar_stack;
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bool_vector already_in_goodvar_stack;
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// information about solution
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bool_vector cur_solution; // the current solution
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int objective_value; // the objective function value corresponds to the current solution
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bool_vector best_solution; // the best solution so far
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int best_objective_value = 0; // the objective value corresponds to the best solution so far
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// for non-known instance, set as maximal
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int best_known_value = INT_MAX; // best known value for this instance
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// cutoff
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int cutoff_time = 1; // seconds
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int max_steps = 2000000000; // < 2147483647
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// for tuning
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int s_id = 0; // strategy id
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void init();
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bool_var pick_var();
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void flip(bool_var v);
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bool tie_breaker_sat(int, int);
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bool tie_breaker_ccd(int, int);
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void calculate_and_update_ob();
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void verify_solution();
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void display(std::ostream& out);
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public:
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local_search(solver& s);
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~local_search();
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void add_soft(literal l, double weight);
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lbool operator()();
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};
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}
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#endif
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@ -281,7 +281,7 @@ namespace sat {
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}
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//
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// lit1 => lit2.
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// lit1 => lit2.n
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// if lit2 is a node, put lit1 above lit2
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//
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@ -351,23 +351,34 @@ namespace sat {
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}
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}
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lbool backtrack(literal_vector& trail) {
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if (inconsistent()) {
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if (trail.empty()) return l_false;
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pop();
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assign(~trail.back());
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trail.pop_back();
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return l_true;
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}
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return l_undef;
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}
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lbool search() {
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literal_vector trail;
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#define BACKTRACK \
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if (inconsistent()) { \
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if (trail.empty()) return l_false; \
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pop(); \
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assign(~trail.back()); \
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trail.pop_back(); \
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continue; \
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} \
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while (true) {
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s.checkpoint();
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BACKTRACK;
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switch (backtrack(trail)) {
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case l_true: continue;
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case l_false: return l_false;
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case l_undef: break;
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}
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literal l = choose();
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BACKTRACK;
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switch (backtrack(trail)) {
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case l_true: continue;
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case l_false: return l_false;
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case l_undef: break;
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}
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if (l == null_literal) {
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return l_true;
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}
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