probability based branching rule based on an article by J. Pryor and J.W. Chinneck
The distribution branching rule selects a variable based on its impact on row activity distributions. More formally, let \( a(x) = a_1 x_1 + \dots + a_n x_n \leq b \) be a row of the LP. Let further \( l_i, u_i \in R\) denote the (finite) lower and upper bound, respectively, of the \( i \)-th variable \(x_i\). Viewing every variable \(x_i \) as (continuously) uniformly distributed within its bounds, we can approximately understand the row activity \(a(x)\) as a Gaussian random variate with mean value \( \mu = E[a(x)] = \sum_i a_i\frac{l_i + u_i}{2}\) and variance \( \sigma^2 = \sum_i a_i^2 \sigma_i^2 \), with \( \sigma_i^2 = \frac{(u_i - l_i)^2}{12}\) for continuous and \( \sigma_i^2 = \frac{(u_i - l_i + 1)^2 - 1}{12}\) for discrete variables. With these two parameters, we can calculate the probability to satisfy the row in terms of the cumulative distribution of the standard normal distribution: \( P(a(x) \leq b) = \Phi(\frac{b - \mu}{\sigma})\).
The impact of a variable on the probability to satisfy a constraint after branching can be estimated by altering the variable contribution to the sums described above. In order to keep the tree size small, variables are preferred which decrease the probability to satisfy a row because it is more likely to create infeasible subproblems.
The selection of the branching variable is subject to the parameter scoreparam
. For both branching directions, an individual score is calculated. Available options for scoring methods are:
If the parameter usescipscore
is set to TRUE, a single branching score is calculated from the respective up and down scores as defined by the SCIP branching score function (see advanced branching parameter scorefunc
), otherwise, the variable with the single highest score is selected, and the maximizing direction is assigned higher branching priority.
The original idea of probability based branching schemes appeared in:
J. Pryor and J.W. Chinneck:
Faster Integer-Feasibility in Mixed-Integer Linear Programs by Branching to Force Change
Computers and Operations Research, vol. 38, 2011, p. 1143–1152
(Paper: PDF).
Definition in file branch_distribution.c.
Go to the source code of this file.
Macros | |
#define | BRANCHRULE_NAME "distribution" |
#define | BRANCHRULE_DESC "branching rule based on variable influence on cumulative normal distribution of row activities" |
#define | BRANCHRULE_PRIORITY 0 |
#define | BRANCHRULE_MAXDEPTH -1 |
#define | BRANCHRULE_MAXBOUNDDIST 1.0 |
#define | SCOREPARAM_VALUES "dhlvw" |
#define | DEFAULT_SCOREPARAM 'v' |
#define | DEFAULT_PRIORITY 2.0 |
#define | SQRTOFTWO 1.4142136 |
#define | SQUARED(x) ((x) * (x)) |
#define | DEFAULT_ONLYACTIVEROWS FALSE |
#define | DEFAULT_USEWEIGHTEDSCORE FALSE |
#define | EVENTHDLR_NAME "eventhdlr_distribution" |
#define | EVENT_DISTRIBUTION SCIP_EVENTTYPE_BOUNDCHANGED |
#define BRANCHRULE_NAME "distribution" |
Definition at line 64 of file branch_distribution.c.
Referenced by SCIP_DECL_BRANCHEXECLP(), SCIP_DECL_BRANCHEXITSOL(), SCIP_DECL_BRANCHFREE(), and SCIPincludeBranchruleDistribution().
#define BRANCHRULE_DESC "branching rule based on variable influence on cumulative normal distribution of row activities" |
Definition at line 65 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define BRANCHRULE_PRIORITY 0 |
Definition at line 66 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define BRANCHRULE_MAXDEPTH -1 |
Definition at line 67 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define BRANCHRULE_MAXBOUNDDIST 1.0 |
Definition at line 68 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define SCOREPARAM_VALUES "dhlvw" |
Definition at line 70 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define DEFAULT_SCOREPARAM 'v' |
Definition at line 71 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define DEFAULT_PRIORITY 2.0 |
Definition at line 72 of file branch_distribution.c.
Referenced by SCIP_DECL_BRANCHEXECLP().
#define SQRTOFTWO 1.4142136 |
Definition at line 73 of file branch_distribution.c.
Referenced by SCIPcalcCumulativeDistribution().
#define SQUARED | ( | x | ) | ((x) * (x)) |
Definition at line 74 of file branch_distribution.c.
Referenced by calcBranchScore(), rowCalculateGauss(), SCIPvarCalcDistributionParameters(), and varProcessBoundChanges().
#define DEFAULT_ONLYACTIVEROWS FALSE |
should only rows which are active at the current node be considered?
Definition at line 75 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define DEFAULT_USEWEIGHTEDSCORE FALSE |
should the branching score weigh up- and down-scores of a variable
Definition at line 76 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define EVENTHDLR_NAME "eventhdlr_distribution" |
event handler name
Definition at line 79 of file branch_distribution.c.
Referenced by SCIPincludeBranchruleDistribution().
#define EVENT_DISTRIBUTION SCIP_EVENTTYPE_BOUNDCHANGED |
the event tyoe to be handled by this event handler
Definition at line 80 of file branch_distribution.c.
Referenced by branchruledataEnsureArraySize(), and SCIP_DECL_BRANCHEXITSOL().
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ensure that maxindex + 1 rows can be represented in data arrays; memory gets reallocated with 10% extra space to save some time for future allocations
scip | SCIP data structure |
branchruledata | branchruledata |
maxindex | row index at hand (size must be at least this large) |
Definition at line 121 of file branch_distribution.c.
References EVENT_DISTRIBUTION, NULL, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIP_STAGE_SOLVING, SCIPallocBlockMemoryArray, SCIPcatchVarEvent(), SCIPfeasCeil(), SCIPgetNVars(), SCIPgetStage(), SCIPgetVars(), SCIPreallocBlockMemoryArray, SCIPvarGetProbindex(), and SCIPvarIsActive().
Referenced by calcBranchScore(), SCIP_DECL_BRANCHEXECLP(), and varProcessBoundChanges().
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scip | SCIP data structure |
branchruledata | branchrule data |
var | the variable to update current bounds |
Definition at line 210 of file branch_distribution.c.
References NULL, SCIP_Real, SCIPisFeasLE(), SCIPvarGetLbLocal(), SCIPvarGetProbindex(), and SCIPvarGetUbLocal().
Referenced by rowCalculateGauss(), SCIP_DECL_BRANCHEXECLP(), and varProcessBoundChanges().
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calculates the initial mean and variance of the row activity normal distribution.
The mean value \( \mu \) is given by \( \mu = \sum_i=1^n c_i * (lb_i +ub_i) / 2 \) where \(n \) is the number of variables, and \( c_i, lb_i, ub_i \) are the variable coefficient and bounds, respectively. With the same notation, the variance \( \sigma^2 \) is given by \( \sigma^2 = \sum_i=1^n c_i^2 * \sigma^2_i \), with the variance being \( \sigma^2_i = ((ub_i - lb_i + 1)^2 - 1) / 12 \) for integer variables and \( \sigma^2_i = (ub_i - lb_i)^2 / 12 \) for continuous variables.
scip | SCIP data structure |
branchruledata | the branching rule data |
row | the row for which the gaussian normal distribution has to be calculated |
mu | pointer to store the mean value of the gaussian normal distribution |
sigma2 | pointer to store the variance value of the gaussian normal distribution |
rowinfinitiesdown | pointer to store the number of variables with infinite bounds to DECREASE activity |
rowinfinitiesup | pointer to store the number of variables with infinite bounds to INCREASE activity |
Definition at line 411 of file branch_distribution.c.
References branchruledataUpdateCurrentBounds(), NULL, SCIP_INVALID, SCIP_Real, SCIPcolGetVar(), SCIPdebug, SCIPdebugMsg, SCIPisFeasLE(), SCIPisFeasNegative(), SCIPisInfinity(), SCIPprintRow(), SCIProwGetCols(), SCIProwGetConstant(), SCIProwGetName(), SCIProwGetNNonz(), SCIProwGetVals(), SCIPvarCalcDistributionParameters(), SCIPvarGetLbLocal(), SCIPvarGetProbindex(), SCIPvarGetType(), SCIPvarGetUbLocal(), and SQUARED.
Referenced by calcBranchScore().
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calculate the branching score of a variable, depending on the chosen score parameter
scip | current SCIP |
branchruledata | branch rule data |
var | candidate variable |
lpsolval | current fractional LP-relaxation solution value |
upscore | pointer to store the variable score when branching on it in upward direction |
downscore | pointer to store the variable score when branching on it in downward direction |
scoreparam | the score parameter of this branching rule |
Definition at line 594 of file branch_distribution.c.
References branchruledataEnsureArraySize(), MAX, NULL, rowCalculateGauss(), SCIP_Bool, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIP_Real, SCIP_VARSTATUS_COLUMN, SCIPcolGetNNonz(), SCIPcolGetRows(), SCIPcolGetVals(), SCIPdebugMsg, SCIPfeasCeil(), SCIPfeasFloor(), SCIPgetRowLPFeasibility(), SCIPisFeasLT(), SCIPisInfinity(), SCIPisIntegral(), SCIPisNegative(), SCIPisSumPositive(), SCIProwCalcProbability(), SCIProwGetIndex(), SCIProwGetName(), SCIPupdateDistributionScore(), SCIPvarCalcDistributionParameters(), SCIPvarGetCol(), SCIPvarGetLbLocal(), SCIPvarGetName(), SCIPvarGetStatus(), SCIPvarGetType(), SCIPvarGetUbLocal(), and SQUARED.
Referenced by SCIP_DECL_BRANCHEXECLP().
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free branchrule data
scip | SCIP data structure |
branchruledata | branching rule data |
Definition at line 787 of file branch_distribution.c.
References NULL, SCIP_OKAY, and SCIPfreeBlockMemoryArray.
Referenced by SCIP_DECL_BRANCHEXITSOL(), and SCIP_DECL_BRANCHFREE().
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add variable to the bound change event queue; skipped if variable is already in there, or if variable has no row currently watched
scip | SCIP data structure |
branchruledata | branchrule data |
var | the variable whose bound changes need to be processed |
Definition at line 812 of file branch_distribution.c.
References NULL, SCIP_INVALID, and SCIPvarGetProbindex().
Referenced by SCIP_DECL_EVENTEXEC().
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returns the next unprocessed variable (last in, first out) with pending bound changes, or NULL
scip | SCIP data structure |
branchruledata | branchrule data |
Definition at line 855 of file branch_distribution.c.
References NULL, and SCIPvarGetProbindex().
Referenced by SCIP_DECL_BRANCHEXECLP().
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process a variable from the queue of changed variables
scip | SCIP data structure |
branchruledata | branchrule data |
var | the variable whose bound changes need to be processed |
Definition at line 885 of file branch_distribution.c.
References branchruledataEnsureArraySize(), branchruledataUpdateCurrentBounds(), MAX, NULL, SCIP_CALL, SCIP_INVALID, SCIP_OKAY, SCIP_Real, SCIPcolGetNNonz(), SCIPcolGetRows(), SCIPcolGetVals(), SCIPinProbing(), SCIPisFeasEQ(), SCIPisFeasGE(), SCIPisInfinity(), SCIProwGetIndex(), SCIPvarCalcDistributionParameters(), SCIPvarGetCol(), SCIPvarGetLbLocal(), SCIPvarGetProbindex(), SCIPvarGetType(), SCIPvarGetUbLocal(), and SQUARED.
Referenced by SCIP_DECL_BRANCHEXECLP().
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destructor of event handler to free user data (called when SCIP is exiting)
Definition at line 1011 of file branch_distribution.c.
References NULL, SCIP_OKAY, SCIPeventhdlrGetData(), SCIPeventhdlrSetData(), and SCIPfreeBlockMemory.
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copy method for branchrule plugins (called when SCIP copies plugins)
Definition at line 1030 of file branch_distribution.c.
References NULL, SCIP_CALL, SCIP_OKAY, and SCIPincludeBranchruleDistribution().
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solving process deinitialization method of branching rule (called before branch and bound process data is freed)
Definition at line 1041 of file branch_distribution.c.
References BRANCHRULE_NAME, branchruledataFreeArrays(), EVENT_DISTRIBUTION, NULL, SCIP_CALL, SCIP_OKAY, SCIPbranchruleGetData(), SCIPbranchruleGetName(), SCIPdropVarEvent(), SCIPfreeBlockMemoryArray, SCIPgetNVars(), and SCIPgetVars().
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destructor of branching rule to free user data (called when SCIP is exiting)
Definition at line 1076 of file branch_distribution.c.
References BRANCHRULE_NAME, branchruledataFreeArrays(), NULL, SCIP_CALL, SCIP_OKAY, SCIPbranchruleGetData(), SCIPbranchruleGetName(), SCIPbranchruleSetData(), and SCIPfreeBlockMemory.
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branching execution method for fractional LP solutions
Definition at line 1096 of file branch_distribution.c.
References BRANCHRULE_NAME, branchruledataEnsureArraySize(), branchruledataPopBoundChangeVar(), branchruledataUpdateCurrentBounds(), calcBranchScore(), DEFAULT_PRIORITY, NULL, SCIP_BRANCHDIR_AUTO, SCIP_BRANCHDIR_DOWNWARDS, SCIP_BRANCHDIR_UPWARDS, SCIP_BRANCHED, SCIP_CALL, SCIP_DIDNOTRUN, SCIP_INVALID, SCIP_OKAY, SCIP_Real, SCIPbranchruleGetData(), SCIPbranchruleGetName(), SCIPbranchVar(), SCIPchgChildPrio(), SCIPdebugMsg, SCIPgetBranchScore(), SCIPgetLPBranchCands(), SCIPgetNActivePricers(), SCIPgetNLPRows(), SCIPisFeasEQ(), SCIPisFeasIntegral(), SCIPisFeasLE(), SCIPvarGetLbLocal(), SCIPvarGetLPSol(), SCIPvarGetName(), SCIPvarGetProbindex(), SCIPvarGetSol(), SCIPvarGetUbLocal(), TRUE, and varProcessBoundChanges().
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event execution method of distribution branching which handles bound change events of variables
Definition at line 1273 of file branch_distribution.c.
References branchruledataAddBoundChangeVar(), NULL, SCIP_OKAY, SCIPeventGetVar(), and SCIPeventhdlrGetData().