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authorHarpreet2016-09-03 00:36:51 +0530
committerHarpreet2016-09-03 00:36:51 +0530
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+// (C) Copyright International Business Machines (IBM) 2006
+// All Rights Reserved.
+// This code is published under the Eclipse Public License.
+//
+// Authors :
+// P. Bonami, International Business Machines
+//
+// Date : 12/07/2006
+
+
+// Code separated from BonOaDecBase to try to clarify OAs
+#ifndef BonSubMipSolver_HPP
+#define BonSubMipSolver_HPP
+#include "IpSmartPtr.hpp"
+#include <string>
+/* forward declarations.*/
+class OsiSolverInterface;
+class OsiClpSolverInterface;
+class OsiCpxSolverInterface;
+class CbcStrategy;
+class CbcStrategyDefault;
+
+#include "OsiCuts.hpp"
+
+namespace Bonmin {
+ class RegisteredOptions;
+ class BabSetupBase;
+ /** A very simple class to provide a common interface for solving MIPs with Cplex and Cbc.*/
+ class SubMipSolver
+ {
+ public:
+ enum MILP_solve_strategy{
+ FindGoodSolution,
+ GetOptimum};
+ /** Constructor */
+ SubMipSolver(BabSetupBase &b, const std::string &prefix);
+
+ /** Copy Constructor */
+ SubMipSolver(const SubMipSolver &copy);
+
+ ~SubMipSolver();
+
+ /** Assign lp solver. */
+ void setLpSolver(OsiSolverInterface * lp);
+
+ /** Assign a strategy. */
+ void setStrategy(CbcStrategyDefault * strategy);
+
+ /** get the solution found in last local search (return NULL if no solution). */
+ const double * getLastSolution()
+ {
+ return integerSolution_;
+ }
+
+ double getLowerBound()
+ {
+ return lowBound_;
+ }
+
+ void solve(double cutoff,
+ int loglevel,
+ double maxTime){
+ if(milp_strat_ == FindGoodSolution){
+ find_good_sol(cutoff, loglevel, maxTime);
+ }
+ else
+ optimize(cutoff, loglevel, maxTime);
+ }
+
+
+ /** update cutoff and perform a local search to a good solution. */
+ void find_good_sol(double cutoff,
+ int loglevel,
+ double maxTime);
+
+ /** update cutoff and optimize MIP. */
+ void optimize(double cutoff,
+ int loglevel,
+ double maxTime);
+
+ /** update cutoff, put OA constraints in cs as lazy constraints and optimize MIP. */
+ void optimize_with_lazy_constraints(double cutoff,
+ int loglevel,
+ double maxTime, const OsiCuts & cs);
+
+ /** Returns lower bound. */
+ inline double lowBound()
+ {
+ return lowBound_;
+ }
+
+ /** returns optimality status. */
+ inline bool optimal()
+ {
+ return optimal_;
+ }
+
+ /** Returns number of nodes in last solve.*/
+ inline int nodeCount()
+ {
+ return nodeCount_;
+ }
+
+ /** Returns number of simplex iterations in last solve.*/
+ inline int iterationCount()
+ {
+ return iterationCount_;
+ }
+
+
+ OsiSolverInterface * solver();
+
+ /** Register options for that Oa based cut generation method. */
+ static void registerOptions(Ipopt::SmartPtr<Bonmin::RegisteredOptions> roptions);
+ private:
+ /** If lp solver is clp (then have to use Cbc) (not owned).*/
+ OsiClpSolverInterface *clp_;
+ /** If mip solver is cpx this is it (owned). */
+ OsiCpxSolverInterface * cpx_;
+ /** lower bound obtained */
+ double lowBound_;
+ /** Is optimality proven? */
+ bool optimal_;
+ /** Has an integer solution? then it is here*/
+ double * integerSolution_;
+ /** Strategy for solving sub mips with cbc. */
+ CbcStrategyDefault * strategy_;
+ /** number of nodes in last mip solved.*/
+ int nodeCount_;
+ /** number of simplex iteration in last mip solved.*/
+ int iterationCount_;
+ /** MILP search strategy.*/
+ MILP_solve_strategy milp_strat_;
+ /** setting for gap tolerance.*/
+ double gap_tol_;
+ /** say if owns copy of clp_.*/
+ bool ownClp_;
+ };
+
+}
+
+#endif
+