Scippy

    SCIP

    Solving Constraint Integer Programs

    heur_gins.h
    Go to the documentation of this file.
    1/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    2/* */
    3/* This file is part of the program and library */
    4/* SCIP --- Solving Constraint Integer Programs */
    5/* */
    6/* Copyright (c) 2002-2025 Zuse Institute Berlin (ZIB) */
    7/* */
    8/* Licensed under the Apache License, Version 2.0 (the "License"); */
    9/* you may not use this file except in compliance with the License. */
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    12/* http://www.apache.org/licenses/LICENSE-2.0 */
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    14/* Unless required by applicable law or agreed to in writing, software */
    15/* distributed under the License is distributed on an "AS IS" BASIS, */
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    19/* */
    20/* You should have received a copy of the Apache-2.0 license */
    21/* along with SCIP; see the file LICENSE. If not visit scipopt.org. */
    22/* */
    23/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
    24
    25/**@file heur_gins.h
    26 * @ingroup PRIMALHEURISTICS
    27 * @brief LNS heuristic that tries to delimit the search region to a neighborhood in the constraint graph
    28 * @author Gregor Hendel
    29 *
    30 *
    31 * Graph Induced Neighborhood Search (GINS) is a Large Neighborhood Search Heuristic that attempts to improve
    32 * an incumbent solution by fixing a suitable percentage of integer variables to the incumbent and
    33 * solving the resulting, smaller and presumably easier sub-MIP.
    34 *
    35 * Its search neighborhoods are based on distances in a bipartite graph \f$G\f$ with the variables and constraints as nodes and
    36 * an edge between a variable and a constraint, if the variable is part of the constraint.
    37 * Given an integer \f$k\f$, the \f$k\f$-neighborhood of a variable \f$v\f$ in \f$G\f$ is the set of variables, whose nodes
    38 * are connected to \f$v\f$ by a path not longer than \f$2 \cdot k\f$. Intuitively, a judiciously chosen neighborhood size
    39 * allows to consider a local portion of the overall problem.
    40 *
    41 * An initial variable selection is made by randomly sampling different neighborhoods across the whole main problem.
    42 * The neighborhood that offers the largest potential for improvement is selected to become the local search neighborhood,
    43 * while all variables outside the neighborhood are fixed to their incumbent solution values.
    44 *
    45 * GINS also supports a rolling horizon approach, during which several local neighborhoods are considered
    46 * with increasing distance to the variable selected for the initial sub-problem. The rolling horizon approach ends
    47 * if no improvement could be found or a sufficient part of the problem component variables has been part of
    48 * at least one neighborhood.
    49 */
    50
    51/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
    52
    53#ifndef __SCIP_HEUR_GINS_H__
    54#define __SCIP_HEUR_GINS_H__
    55
    56#include "scip/def.h"
    57#include "scip/type_retcode.h"
    58#include "scip/type_scip.h"
    59
    60#ifdef __cplusplus
    61extern "C" {
    62#endif
    63
    64/** creates the gins primal heuristic and includes it in SCIP
    65 *
    66 * @ingroup PrimalHeuristicIncludes
    67 */
    68SCIP_EXPORT
    70 SCIP* scip /**< SCIP data structure */
    71 );
    72
    73#ifdef __cplusplus
    74}
    75#endif
    76
    77#endif
    common defines and data types used in all packages of SCIP
    SCIP_RETCODE SCIPincludeHeurGins(SCIP *scip)
    Definition: heur_gins.c:2611
    type definitions for return codes for SCIP methods
    enum SCIP_Retcode SCIP_RETCODE
    Definition: type_retcode.h:63
    type definitions for SCIP's main datastructure