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/* -*- mode: C++; indent-tabs-mode: nil; -*-
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*
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* This file is a part of LEMON, a generic C++ optimization library.
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*
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* Copyright (C) 2003-2009
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* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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* (Egervary Research Group on Combinatorial Optimization, EGRES).
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*
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* Permission to use, modify and distribute this software is granted
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* provided that this copyright notice appears in all copies. For
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* precise terms see the accompanying LICENSE file.
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*
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* This software is provided "AS IS" with no warranty of any kind,
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* express or implied, and with no claim as to its suitability for any
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* purpose.
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*
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*/
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///\file
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///\brief Implementation of the CBC MIP solver interface.
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#include "cbc.h"
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#include <coin/CoinModel.hpp>
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#include <coin/CbcModel.hpp>
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#include <coin/OsiSolverInterface.hpp>
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#ifdef COIN_HAS_CLP
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#include "coin/OsiClpSolverInterface.hpp"
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#endif
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#ifdef COIN_HAS_OSL
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#include "coin/OsiOslSolverInterface.hpp"
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#endif
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#include "coin/CbcCutGenerator.hpp"
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#include "coin/CbcHeuristicLocal.hpp"
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#include "coin/CbcHeuristicGreedy.hpp"
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#include "coin/CbcHeuristicFPump.hpp"
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#include "coin/CbcHeuristicRINS.hpp"
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#include "coin/CglGomory.hpp"
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#include "coin/CglProbing.hpp"
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#include "coin/CglKnapsackCover.hpp"
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#include "coin/CglOddHole.hpp"
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#include "coin/CglClique.hpp"
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#include "coin/CglFlowCover.hpp"
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#include "coin/CglMixedIntegerRounding.hpp"
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#include "coin/CbcHeuristic.hpp"
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namespace lemon {
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CbcMip::CbcMip() {
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_prob = new CoinModel();
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_prob->setProblemName("LEMON");
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_osi_solver = 0;
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_cbc_model = 0;
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messageLevel(MESSAGE_NOTHING);
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}
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CbcMip::CbcMip(const CbcMip& other) {
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_prob = new CoinModel(*other._prob);
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_prob->setProblemName("LEMON");
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_osi_solver = 0;
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_cbc_model = 0;
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@@ -229,129 +224,121 @@
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for (int i = 0; i < num; ++i) {
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_prob->setColumnObjective(i, 0.0);
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}
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for (ExprIterator it = b; it != e; ++it) {
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_prob->setColumnObjective(it->first, it->second);
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}
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}
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void CbcMip::_getObjCoeffs(InsertIterator b) const {
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int num = _prob->numberColumns();
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for (int i = 0; i < num; ++i) {
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Value coef = _prob->getColumnObjective(i);
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if (coef != 0.0) {
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*b = std::make_pair(i, coef);
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++b;
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}
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}
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}
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void CbcMip::_setObjCoeff(int i, Value obj_coef) {
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_prob->setColumnObjective(i, obj_coef);
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}
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CbcMip::Value CbcMip::_getObjCoeff(int i) const {
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return _prob->getColumnObjective(i);
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}
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CbcMip::SolveExitStatus CbcMip::_solve() {
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if (_osi_solver) {
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delete _osi_solver;
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}
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#ifdef COIN_HAS_CLP
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_osi_solver = new OsiClpSolverInterface();
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#elif COIN_HAS_OSL
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_osi_solver = new OsiOslSolverInterface();
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#else
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#error Cannot instantiate Osi solver
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#endif
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_osi_solver->loadFromCoinModel(*_prob);
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if (_cbc_model) {
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delete _cbc_model;
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}
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_cbc_model= new CbcModel(*_osi_solver);
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_osi_solver->messageHandler()->setLogLevel(_message_level);
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_cbc_model->setLogLevel(_message_level);
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_cbc_model->initialSolve();
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_cbc_model->solver()->setHintParam(OsiDoReducePrint, true, OsiHintTry);
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if (!_cbc_model->isInitialSolveAbandoned() &&
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_cbc_model->isInitialSolveProvenOptimal() &&
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!_cbc_model->isInitialSolveProvenPrimalInfeasible() &&
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!_cbc_model->isInitialSolveProvenDualInfeasible()) {
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CglProbing generator1;
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generator1.setUsingObjective(true);
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generator1.setMaxPass(3);
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generator1.setMaxProbe(100);
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generator1.setMaxLook(50);
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generator1.setRowCuts(3);
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_cbc_model->addCutGenerator(&generator1, -1, "Probing");
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CglGomory generator2;
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generator2.setLimit(300);
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_cbc_model->addCutGenerator(&generator2, -1, "Gomory");
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CglKnapsackCover generator3;
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_cbc_model->addCutGenerator(&generator3, -1, "Knapsack");
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CglOddHole generator4;
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generator4.setMinimumViolation(0.005);
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generator4.setMinimumViolationPer(0.00002);
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generator4.setMaximumEntries(200);
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_cbc_model->addCutGenerator(&generator4, -1, "OddHole");
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CglClique generator5;
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generator5.setStarCliqueReport(false);
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generator5.setRowCliqueReport(false);
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_cbc_model->addCutGenerator(&generator5, -1, "Clique");
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CglMixedIntegerRounding mixedGen;
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_cbc_model->addCutGenerator(&mixedGen, -1, "MixedIntegerRounding");
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CglFlowCover flowGen;
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_cbc_model->addCutGenerator(&flowGen, -1, "FlowCover");
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#ifdef COIN_HAS_CLP
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OsiClpSolverInterface* osiclp =
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dynamic_cast<OsiClpSolverInterface*>(_cbc_model->solver());
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if (osiclp->getNumRows() < 300 && osiclp->getNumCols() < 500) {
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osiclp->setupForRepeatedUse(2, 0);
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}
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#endif
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CbcRounding heuristic1(*_cbc_model);
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heuristic1.setWhen(3);
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_cbc_model->addHeuristic(&heuristic1);
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CbcHeuristicLocal heuristic2(*_cbc_model);
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heuristic2.setWhen(3);
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_cbc_model->addHeuristic(&heuristic2);
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CbcHeuristicGreedyCover heuristic3(*_cbc_model);
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heuristic3.setAlgorithm(11);
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heuristic3.setWhen(3);
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_cbc_model->addHeuristic(&heuristic3);
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CbcHeuristicFPump heuristic4(*_cbc_model);
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heuristic4.setWhen(3);
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_cbc_model->addHeuristic(&heuristic4);
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CbcHeuristicRINS heuristic5(*_cbc_model);
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heuristic5.setWhen(3);
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_cbc_model->addHeuristic(&heuristic5);
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if (_cbc_model->getNumCols() < 500) {
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_cbc_model->setMaximumCutPassesAtRoot(-100);
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} else if (_cbc_model->getNumCols() < 5000) {
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_cbc_model->setMaximumCutPassesAtRoot(100);
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} else {
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_cbc_model->setMaximumCutPassesAtRoot(20);
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}
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if (_cbc_model->getNumCols() < 5000) {
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_cbc_model->setNumberStrong(10);
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