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+/* -*- mode: C++; indent-tabs-mode: nil; -*-
+ *
+ * This file is a part of LEMON, a generic C++ optimization library.
+ *
+ * Copyright (C) 2003-2013
+ * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
+ * (Egervary Research Group on Combinatorial Optimization, EGRES).
+ *
+ * Permission to use, modify and distribute this software is granted
+ * provided that this copyright notice appears in all copies. For
+ * precise terms see the accompanying LICENSE file.
+ *
+ * This software is provided "AS IS" with no warranty of any kind,
+ * express or implied, and with no claim as to its suitability for any
+ * purpose.
+ *
+ */
+
+///\file
+///\brief Implementation of the CBC MIP solver interface.
+
+#include "cbc.h"
+
+#include <coin/CoinModel.hpp>
+#include <coin/CbcModel.hpp>
+#include <coin/OsiSolverInterface.hpp>
+
+#include "coin/OsiClpSolverInterface.hpp"
+
+#include "coin/CbcCutGenerator.hpp"
+#include "coin/CbcHeuristicLocal.hpp"
+#include "coin/CbcHeuristicGreedy.hpp"
+#include "coin/CbcHeuristicFPump.hpp"
+#include "coin/CbcHeuristicRINS.hpp"
+
+#include "coin/CglGomory.hpp"
+#include "coin/CglProbing.hpp"
+#include "coin/CglKnapsackCover.hpp"
+#include "coin/CglOddHole.hpp"
+#include "coin/CglClique.hpp"
+#include "coin/CglFlowCover.hpp"
+#include "coin/CglMixedIntegerRounding.hpp"
+
+#include "coin/CbcHeuristic.hpp"
+
+namespace lemon {
+
+ CbcMip::CbcMip() {
+ _prob = new CoinModel();
+ _prob->setProblemName("LEMON");
+ _osi_solver = 0;
+ _cbc_model = 0;
+ messageLevel(MESSAGE_NOTHING);
+ }
+
+ CbcMip::CbcMip(const CbcMip& other) {
+ _prob = new CoinModel(*other._prob);
+ _prob->setProblemName("LEMON");
+ _osi_solver = 0;
+ _cbc_model = 0;
+ messageLevel(MESSAGE_NOTHING);
+ }
+
+ CbcMip::~CbcMip() {
+ delete _prob;
+ if (_osi_solver) delete _osi_solver;
+ if (_cbc_model) delete _cbc_model;
+ }
+
+ const char* CbcMip::_solverName() const { return "CbcMip"; }
+
+ int CbcMip::_addCol() {
+ _prob->addColumn(0, 0, 0, -COIN_DBL_MAX, COIN_DBL_MAX, 0.0, 0, false);
+ return _prob->numberColumns() - 1;
+ }
+
+ CbcMip* CbcMip::newSolver() const {
+ CbcMip* newlp = new CbcMip;
+ return newlp;
+ }
+
+ CbcMip* CbcMip::cloneSolver() const {
+ CbcMip* copylp = new CbcMip(*this);
+ return copylp;
+ }
+
+ int CbcMip::_addRow() {
+ _prob->addRow(0, 0, 0, -COIN_DBL_MAX, COIN_DBL_MAX);
+ return _prob->numberRows() - 1;
+ }
+
+ int CbcMip::_addRow(Value l, ExprIterator b, ExprIterator e, Value u) {
+ std::vector<int> indexes;
+ std::vector<Value> values;
+
+ for(ExprIterator it = b; it != e; ++it) {
+ indexes.push_back(it->first);
+ values.push_back(it->second);
+ }
+
+ _prob->addRow(values.size(), &indexes.front(), &values.front(), l, u);
+ return _prob->numberRows() - 1;
+ }
+
+ void CbcMip::_eraseCol(int i) {
+ _prob->deleteColumn(i);
+ }
+
+ void CbcMip::_eraseRow(int i) {
+ _prob->deleteRow(i);
+ }
+
+ void CbcMip::_eraseColId(int i) {
+ cols.eraseIndex(i);
+ }
+
+ void CbcMip::_eraseRowId(int i) {
+ rows.eraseIndex(i);
+ }
+
+ void CbcMip::_getColName(int c, std::string& name) const {
+ name = _prob->getColumnName(c);
+ }
+
+ void CbcMip::_setColName(int c, const std::string& name) {
+ _prob->setColumnName(c, name.c_str());
+ }
+
+ int CbcMip::_colByName(const std::string& name) const {
+ return _prob->column(name.c_str());
+ }
+
+ void CbcMip::_getRowName(int r, std::string& name) const {
+ name = _prob->getRowName(r);
+ }
+
+ void CbcMip::_setRowName(int r, const std::string& name) {
+ _prob->setRowName(r, name.c_str());
+ }
+
+ int CbcMip::_rowByName(const std::string& name) const {
+ return _prob->row(name.c_str());
+ }
+
+ void CbcMip::_setRowCoeffs(int i, ExprIterator b, ExprIterator e) {
+ for (ExprIterator it = b; it != e; ++it) {
+ _prob->setElement(i, it->first, it->second);
+ }
+ }
+
+ void CbcMip::_getRowCoeffs(int ix, InsertIterator b) const {
+ int length = _prob->numberRows();
+
+ std::vector<int> indices(length);
+ std::vector<Value> values(length);
+
+ length = _prob->getRow(ix, &indices[0], &values[0]);
+
+ for (int i = 0; i < length; ++i) {
+ *b = std::make_pair(indices[i], values[i]);
+ ++b;
+ }
+ }
+
+ void CbcMip::_setColCoeffs(int ix, ExprIterator b, ExprIterator e) {
+ for (ExprIterator it = b; it != e; ++it) {
+ _prob->setElement(it->first, ix, it->second);
+ }
+ }
+
+ void CbcMip::_getColCoeffs(int ix, InsertIterator b) const {
+ int length = _prob->numberColumns();
+
+ std::vector<int> indices(length);
+ std::vector<Value> values(length);
+
+ length = _prob->getColumn(ix, &indices[0], &values[0]);
+
+ for (int i = 0; i < length; ++i) {
+ *b = std::make_pair(indices[i], values[i]);
+ ++b;
+ }
+ }
+
+ void CbcMip::_setCoeff(int ix, int jx, Value value) {
+ _prob->setElement(ix, jx, value);
+ }
+
+ CbcMip::Value CbcMip::_getCoeff(int ix, int jx) const {
+ return _prob->getElement(ix, jx);
+ }
+
+
+ void CbcMip::_setColLowerBound(int i, Value lo) {
+ LEMON_ASSERT(lo != INF, "Invalid bound");
+ _prob->setColumnLower(i, lo == - INF ? - COIN_DBL_MAX : lo);
+ }
+
+ CbcMip::Value CbcMip::_getColLowerBound(int i) const {
+ double val = _prob->getColumnLower(i);
+ return val == - COIN_DBL_MAX ? - INF : val;
+ }
+
+ void CbcMip::_setColUpperBound(int i, Value up) {
+ LEMON_ASSERT(up != -INF, "Invalid bound");
+ _prob->setColumnUpper(i, up == INF ? COIN_DBL_MAX : up);
+ }
+
+ CbcMip::Value CbcMip::_getColUpperBound(int i) const {
+ double val = _prob->getColumnUpper(i);
+ return val == COIN_DBL_MAX ? INF : val;
+ }
+
+ void CbcMip::_setRowLowerBound(int i, Value lo) {
+ LEMON_ASSERT(lo != INF, "Invalid bound");
+ _prob->setRowLower(i, lo == - INF ? - COIN_DBL_MAX : lo);
+ }
+
+ CbcMip::Value CbcMip::_getRowLowerBound(int i) const {
+ double val = _prob->getRowLower(i);
+ return val == - COIN_DBL_MAX ? - INF : val;
+ }
+
+ void CbcMip::_setRowUpperBound(int i, Value up) {
+ LEMON_ASSERT(up != -INF, "Invalid bound");
+ _prob->setRowUpper(i, up == INF ? COIN_DBL_MAX : up);
+ }
+
+ CbcMip::Value CbcMip::_getRowUpperBound(int i) const {
+ double val = _prob->getRowUpper(i);
+ return val == COIN_DBL_MAX ? INF : val;
+ }
+
+ void CbcMip::_setObjCoeffs(ExprIterator b, ExprIterator e) {
+ int num = _prob->numberColumns();
+ for (int i = 0; i < num; ++i) {
+ _prob->setColumnObjective(i, 0.0);
+ }
+ for (ExprIterator it = b; it != e; ++it) {
+ _prob->setColumnObjective(it->first, it->second);
+ }
+ }
+
+ void CbcMip::_getObjCoeffs(InsertIterator b) const {
+ int num = _prob->numberColumns();
+ for (int i = 0; i < num; ++i) {
+ Value coef = _prob->getColumnObjective(i);
+ if (coef != 0.0) {
+ *b = std::make_pair(i, coef);
+ ++b;
+ }
+ }
+ }
+
+ void CbcMip::_setObjCoeff(int i, Value obj_coef) {
+ _prob->setColumnObjective(i, obj_coef);
+ }
+
+ CbcMip::Value CbcMip::_getObjCoeff(int i) const {
+ return _prob->getColumnObjective(i);
+ }
+
+ CbcMip::SolveExitStatus CbcMip::_solve() {
+
+ if (_osi_solver) {
+ delete _osi_solver;
+ }
+ _osi_solver = new OsiClpSolverInterface();
+
+ _osi_solver->loadFromCoinModel(*_prob);
+
+ if (_cbc_model) {
+ delete _cbc_model;
+ }
+ _cbc_model= new CbcModel(*_osi_solver);
+
+ _osi_solver->messageHandler()->setLogLevel(_message_level);
+ _cbc_model->setLogLevel(_message_level);
+
+ _cbc_model->initialSolve();
+ _cbc_model->solver()->setHintParam(OsiDoReducePrint, true, OsiHintTry);
+
+ if (!_cbc_model->isInitialSolveAbandoned() &&
+ _cbc_model->isInitialSolveProvenOptimal() &&
+ !_cbc_model->isInitialSolveProvenPrimalInfeasible() &&
+ !_cbc_model->isInitialSolveProvenDualInfeasible()) {
+
+ CglProbing generator1;
+ generator1.setUsingObjective(true);
+ generator1.setMaxPass(3);
+ generator1.setMaxProbe(100);
+ generator1.setMaxLook(50);
+ generator1.setRowCuts(3);
+ _cbc_model->addCutGenerator(&generator1, -1, "Probing");
+
+ CglGomory generator2;
+ generator2.setLimit(300);
+ _cbc_model->addCutGenerator(&generator2, -1, "Gomory");
+
+ CglKnapsackCover generator3;
+ _cbc_model->addCutGenerator(&generator3, -1, "Knapsack");
+
+ CglOddHole generator4;
+ generator4.setMinimumViolation(0.005);
+ generator4.setMinimumViolationPer(0.00002);
+ generator4.setMaximumEntries(200);
+ _cbc_model->addCutGenerator(&generator4, -1, "OddHole");
+
+ CglClique generator5;
+ generator5.setStarCliqueReport(false);
+ generator5.setRowCliqueReport(false);
+ _cbc_model->addCutGenerator(&generator5, -1, "Clique");
+
+ CglMixedIntegerRounding mixedGen;
+ _cbc_model->addCutGenerator(&mixedGen, -1, "MixedIntegerRounding");
+
+ CglFlowCover flowGen;
+ _cbc_model->addCutGenerator(&flowGen, -1, "FlowCover");
+
+ OsiClpSolverInterface* osiclp =
+ dynamic_cast<OsiClpSolverInterface*>(_cbc_model->solver());
+ if (osiclp->getNumRows() < 300 && osiclp->getNumCols() < 500) {
+ osiclp->setupForRepeatedUse(2, 0);
+ }
+
+ CbcRounding heuristic1(*_cbc_model);
+ heuristic1.setWhen(3);
+ _cbc_model->addHeuristic(&heuristic1);
+
+ CbcHeuristicLocal heuristic2(*_cbc_model);
+ heuristic2.setWhen(3);
+ _cbc_model->addHeuristic(&heuristic2);
+
+ CbcHeuristicGreedyCover heuristic3(*_cbc_model);
+ heuristic3.setAlgorithm(11);
+ heuristic3.setWhen(3);
+ _cbc_model->addHeuristic(&heuristic3);
+
+ CbcHeuristicFPump heuristic4(*_cbc_model);
+ heuristic4.setWhen(3);
+ _cbc_model->addHeuristic(&heuristic4);
+
+ CbcHeuristicRINS heuristic5(*_cbc_model);
+ heuristic5.setWhen(3);
+ _cbc_model->addHeuristic(&heuristic5);
+
+ if (_cbc_model->getNumCols() < 500) {
+ _cbc_model->setMaximumCutPassesAtRoot(-100);
+ } else if (_cbc_model->getNumCols() < 5000) {
+ _cbc_model->setMaximumCutPassesAtRoot(100);
+ } else {
+ _cbc_model->setMaximumCutPassesAtRoot(20);
+ }
+
+ if (_cbc_model->getNumCols() < 5000) {
+ _cbc_model->setNumberStrong(10);
+ }
+
+ _cbc_model->solver()->setIntParam(OsiMaxNumIterationHotStart, 100);
+ _cbc_model->branchAndBound();
+ }
+
+ if (_cbc_model->isAbandoned()) {
+ return UNSOLVED;
+ } else {
+ return SOLVED;
+ }
+ }
+
+ CbcMip::Value CbcMip::_getSol(int i) const {
+ return _cbc_model->getColSolution()[i];
+ }
+
+ CbcMip::Value CbcMip::_getSolValue() const {
+ return _cbc_model->getObjValue();
+ }
+
+ CbcMip::ProblemType CbcMip::_getType() const {
+ if (_cbc_model->isProvenOptimal()) {
+ return OPTIMAL;
+ } else if (_cbc_model->isContinuousUnbounded()) {
+ return UNBOUNDED;
+ }
+ return FEASIBLE;
+ }
+
+ void CbcMip::_setSense(Sense sense) {
+ switch (sense) {
+ case MIN:
+ _prob->setOptimizationDirection(1.0);
+ break;
+ case MAX:
+ _prob->setOptimizationDirection(- 1.0);
+ break;
+ }
+ }
+
+ CbcMip::Sense CbcMip::_getSense() const {
+ if (_prob->optimizationDirection() > 0.0) {
+ return MIN;
+ } else if (_prob->optimizationDirection() < 0.0) {
+ return MAX;
+ } else {
+ LEMON_ASSERT(false, "Wrong sense");
+ return CbcMip::Sense();
+ }
+ }
+
+ void CbcMip::_setColType(int i, CbcMip::ColTypes col_type) {
+ switch (col_type){
+ case INTEGER:
+ _prob->setInteger(i);
+ break;
+ case REAL:
+ _prob->setContinuous(i);
+ break;
+ default:;
+ LEMON_ASSERT(false, "Wrong sense");
+ }
+ }
+
+ CbcMip::ColTypes CbcMip::_getColType(int i) const {
+ return _prob->getColumnIsInteger(i) ? INTEGER : REAL;
+ }
+
+ void CbcMip::_clear() {
+ delete _prob;
+ if (_osi_solver) {
+ delete _osi_solver;
+ _osi_solver = 0;
+ }
+ if (_cbc_model) {
+ delete _cbc_model;
+ _cbc_model = 0;
+ }
+
+ _prob = new CoinModel();
+ }
+
+ void CbcMip::_messageLevel(MessageLevel level) {
+ switch (level) {
+ case MESSAGE_NOTHING:
+ _message_level = 0;
+ break;
+ case MESSAGE_ERROR:
+ _message_level = 1;
+ break;
+ case MESSAGE_WARNING:
+ _message_level = 1;
+ break;
+ case MESSAGE_NORMAL:
+ _message_level = 2;
+ break;
+ case MESSAGE_VERBOSE:
+ _message_level = 3;
+ break;
+ }
+ }
+
+} //END OF NAMESPACE LEMON