diff --git a/lemon/cbc.cc b/lemon/cbc.cc new file mode 100644 --- /dev/null +++ b/lemon/cbc.cc @@ -0,0 +1,460 @@ +/* -*- mode: C++; indent-tabs-mode: nil; -*- + * + * This file is a part of LEMON, a generic C++ optimization library. + * + * Copyright (C) 2003-2009 + * 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 +#include +#include + +#ifdef COIN_HAS_CLP +#include "coin/OsiClpSolverInterface.hpp" +#endif +#ifdef COIN_HAS_OSL +#include "coin/OsiOslSolverInterface.hpp" +#endif + +#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; + } + + CbcMip::CbcMip(const CbcMip& other) { + _prob = new CoinModel(*other._prob); + _osi_solver = 0; + _cbc_model = 0; + } + + 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; + } + + + 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 indices(length); + std::vector 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 indices(length); + std::vector 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; + } +#ifdef COIN_HAS_CLP + _osi_solver = new OsiClpSolverInterface(); +#elif COIN_HAS_OSL + _osi_solver = new OsiOslSolverInterface(); +#else +#error Cannot instantiate Osi solver +#endif + + _osi_solver->loadFromCoinModel(*_prob); + + if (_cbc_model) { + delete _cbc_model; + } + _cbc_model= new CbcModel(*_osi_solver); + + switch (_message_level) { + case MESSAGE_NO_OUTPUT: + _osi_solver->messageHandler()->setLogLevel(0); + _cbc_model->setLogLevel(0); + break; + case MESSAGE_ERROR_MESSAGE: + _osi_solver->messageHandler()->setLogLevel(1); + _cbc_model->setLogLevel(1); + break; + case MESSAGE_NORMAL_OUTPUT: + _osi_solver->messageHandler()->setLogLevel(2); + _cbc_model->setLogLevel(2); + break; + case MESSAGE_FULL_OUTPUT: + _osi_solver->messageHandler()->setLogLevel(3); + _cbc_model->setLogLevel(3); + break; + } + + _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"); + +#ifdef COIN_HAS_CLP + OsiClpSolverInterface* osiclp = + dynamic_cast(_cbc_model->solver()); + if (osiclp->getNumRows() < 300 && osiclp->getNumCols() < 500) { + osiclp->setupForRepeatedUse(2, 0); + } +#endif + + 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(); + rows.clear(); + cols.clear(); + } + + void CbcMip::messageLevel(MessageLevel m) { + _message_level = m; + } + +} //END OF NAMESPACE LEMON