/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
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/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
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/*  Copyright 2002-2022 Zuse Institute Berlin                                */
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */

/**@file   heur_dins.h
 * @ingroup PRIMALHEURISTICS
 * @brief  DINS primal heuristic
 * @author Robert Waniek
 *
 * DINS combines the ideas of RINS (see @ref heur_rins.h) and Local Branching (see @ref heur_localbranching.h). It
 * defines the neighborhood by introducing a distance function between the incumbent solution and the optimum of the LP
 * relaxation. When applied during a branch-and-bound search, it further takes into account how variables change their
 * values at different nodes of the tree.
 */

/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/

#ifndef __SCIP_HEUR_DINS_H__
#define __SCIP_HEUR_DINS_H__

#include "scip/def.h"
#include "scip/type_retcode.h"
#include "scip/type_scip.h"

#ifdef __cplusplus
extern "C" {
#endif

/** creates the DINS primal heuristic and includes it in SCIP
 *
 *  @ingroup PrimalHeuristicIncludes
 */
SCIP_EXPORT
SCIP_RETCODE SCIPincludeHeurDins(
   SCIP*                 scip                /**< SCIP data structure */
   );

#ifdef __cplusplus
}
#endif

#endif