IBM ILOG OPL JavaScript Reference: Class IloCP

Class IloCP

IloObject
   |
   +--IloCP

Iterating properties:: Default behavior.

Index resolution:: Default behavior.

Available for:: flow control

Constructor Summary
Constructor Attributes	Constructor Name and Description
	IloCP()

Property Summary
Field Attributes	Field Name and Description
pre processing, flow control	factory Accesses the CP search modifier factory.
all	info Accesses CP information.
all	param Accesses CP parameters.
flow control	status Status of the last method invoked on this object.

Method Summary
Method Attributes	Method Name and Description
flow control	addKPI(expr, name) Adds a KPI to the IloCP.
flow control	clearModel() Resets CP Optimizer to accept another CP model.
flow control	clearStartingPoint() Removes any starting point.
flow control	dumpModel(path) Dumps the CP model to a file.
flow control	endSearch() Ends the current search and deletes the internal objects created by CP Optimizer to carry out the search.
flow control	exportModel(path) Exports the CP model to a file.
flow control	getAllKPINames() Removes all KPI to the IloCP.
flow control	getIncumbentValueByExpr(The) Returns the incumbent value.
flow control	getIncumbentValueByName(The) Returns the incumbent value.
flow control	getKPIValue(The) Return the CP KPI.
postprocessing flow control	getNumberOfObjValues() Returns the number of objective criteria in the invoking instance of `IloCP`.
postprocessing flow control	getObjBound(i) Accesses the value of the lower bound, or values of a multi-criteria lower bound, of the current solution.
postprocessing flow control	getObjGap(i) Accesses the value of the gap, or values of a multi-criteria gap, of the current solution.
postprocessing flow control	getObjValue(i) Accesses the value of the objective, or values of a multi-criteria objective, of the current solution.
postprocessing flow control	hasObjective() This method returns `true` if the invoking algorithm has an objective and `false` otherwise.
flow control	importModel(path) Imports the IloCP model from a file.
flow control	next() This method searches for a new (or first) solution to the model.
flow control	removeAllKPIs() Removes all KPI to the IloCP.
flow control	removeKPI(name) Removes a KPI to the IloCP.
flow control	setSearchPhases(phase, phaseN) Modifies the search strategy.
flow control	setStartingPoint(startingPoint) Sets starting point for subsequent searches.
flow control	solve() Solves a problem.
flow control	startNewSearch() Starts a new search.

Methods inherited from class IloObject
end

Constructor Detail

IloCP

IloCP()

Property Detail

factory

factory

Accesses the CP search modifier factory. See the C++ reference manual for IloCP.

Search modifiers are created by method calls.

Example:

  cp.factory.selectLargest()
  cp.factory.domainSize()

Search phases can be created like this:

  var phase;
  var phase2;
  with ( cp.factory ) {
     phase = searchPhase( selectLargest(domainSize()), selectSmallest(value()) );
     phase2 = searchPhase( x, selectLargest(domainSize()), selectSmallest(value()) );
  }

where x is an array of decision variables defined in the OPL model.

Available for:: pre processing, flow control

info

{IloOplScriptHCpInfos} info

Accesses CP information. See the C++ reference manual for IloCP.

Information elements are available by their names.

Example:

  cp.info.TotalTime

Available for:: all

param

{IloOplScriptHCpParams} param

Accesses CP parameters. See the C++ reference manual for IloCP.

Parameters are available by their names.

Example:

cp.param.TimeLimit = 13;

Symbolic parameter values are assigned as strings.

  cp.param.LogVerbosity = "Quiet";

Available for:: all

status

{int} status

Status of the last method invoked on this object.

Available for:: flow control

Method Detail

addKPI

addKPI(expr, name)

Adds a KPI to the IloCP.

Parameters:: expr - Expression to be considered as a kpis.; name - Optional, name of the KPI. If null, then the OPL name is used.

Available for:: flow control

clearModel

clearModel()

Resets CP Optimizer to accept another CP model.

Available for:: flow control

clearStartingPoint

clearStartingPoint()

Removes any starting point. See the C++ reference manual for IloCP.

Available for:: flow control

dumpModel

dumpModel(path)

Dumps the CP model to a file. Relative paths are resolved with respect to the current model file. See the C++ reference manual for IloCP.

Parameters:: path - Path of the file to which the model will be dumped.

Available for:: flow control

endSearch

endSearch()

Ends the current search and deletes the internal objects created by CP Optimizer to carry out the search. See the C++ reference manual for IloCP.

Available for:: flow control

exportModel

exportModel(path)

Exports the CP model to a file. Relative paths are resolved with respect to the current model file. See the C++ reference manual for IloCP.

Parameters:: path - Path of the file to which the model will be exported.

Available for:: flow control

getAllKPINames

getAllKPINames()

Removes all KPI to the IloCP.

Returns:: The list of KPI names.

Available for:: flow control

getIncumbentValueByExpr

getIncumbentValueByExpr(The)

Returns the incumbent value.

Parameters:: The - expr of the KPI to by queried.

Returns:: The incumbent value.

Available for:: flow control

getIncumbentValueByName

getIncumbentValueByName(The)

Returns the incumbent value.

Parameters:: The - name of the KPI to by queried.

Returns:: The incumbent value.

Available for:: flow control

getKPIValue

getKPIValue(The)

Return the CP KPI.

Parameters:: The - name of the KPI to by queried.

Returns:: The list of KPI names.

Available for:: flow control

getNumberOfObjValues

{int} getNumberOfObjValues()

Returns the number of objective criteria in the invoking instance of IloCP.

Returns:: The number of objective values.

Available for:: postprocessing; flow control

getObjBound

{float} getObjBound(i)

Accesses the value of the lower bound, or values of a multi-criteria lower bound, of the current solution. The optional parameter allows you to specify the index of the value when performing optimization with a multi-criteria objective. In the case of a multi-criteria objective, if no argument is passed, the method returns the value of the first criterion.

Parameters:: i - Optional parameter to give the objective position .

Returns:: The objective value(s) of the current solution.

Available for:: postprocessing; flow control

getObjGap

{float} getObjGap(i)

Accesses the value of the gap, or values of a multi-criteria gap, of the current solution. The optional parameter allows you to specify the index of the value when performing optimization with a multi-criteria objective. In the case of a multi-criteria objective, if no argument is passed, the method returns the value of the first criterion.

Parameters:: i - Optional parameter to give the objective position .

Returns:: The objective value(s) of the current solution.

Available for:: postprocessing; flow control

getObjValue

{float} getObjValue(i)

Accesses the value of the objective, or values of a multi-criteria objective, of the current solution. The optional parameter allows you to specify the index of the value when performing optimization with a multi-criteria objective. In the case of a multi-criteria objective, if no argument is passed, the method returns the value of the first criterion.

Parameters:: i - Optional parameter to give the objective position .

Returns:: The objective value(s) of the current solution.

Available for:: postprocessing; flow control

hasObjective

{boolean} hasObjective()

This method returns true if the invoking algorithm has an objective and false otherwise. See the C++ reference manual for IloCP.

Returns:: true if it has an objective.

Available for:: postprocessing; flow control

importModel

importModel(path)

Imports the IloCP model from a file. Relative paths are resolved with respect to the current model file. For more information, see the class IloCP in the CPLEX C++ Reference Manual.

Parameters:: path - Path to the file from which the model will be imported.

Available for:: flow control

{boolean} next()

This method searches for a new (or first) solution to the model. In the case of an optimization problem (with an objective in the model), the next method finds a solution strictly better than the previous solution found. In the case of a satisfaction problem (no objective in the model), next returns a solution that is usually different from those previously found. However, it may occasionally find a solution that had been found already. If you repeat calls to the next function, until it returns false, the solve is guaranteed to terminate and you will not miss any solutions of the model being solved. See the C++ reference manual for IloCP.

Returns:: true if a next solution is available.

Available for:: flow control

removeAllKPIs

removeAllKPIs()

Removes all KPI to the IloCP.

Available for:: flow control

removeKPI

removeKPI(name)

Removes a KPI to the IloCP.

Parameters:: name - Name of the KPI.

Available for:: flow control

setSearchPhases

setSearchPhases(phase, phaseN)

Modifies the search strategy. See the C++ reference manual for IloCP.

If called with no arguments, the search is reset to the default search.

Parameters:: phase - Use this search phase, optional.; phaseN - Use n search phases.

See also:: IloSearchPhase

Available for:: flow control

setStartingPoint

setStartingPoint(startingPoint)

Sets starting point for subsequent searches. See the C++ reference manual for IloCP.

Parameters:: startingPoint - the starting point

See also:: IloOplCPSolution

Available for:: flow control

solve

{boolean} solve()

Solves a problem. See the C++ reference manual for IloCP.

Returns:: true if the solve has been successful.

Available for:: flow control

startNewSearch

startNewSearch()

Starts a new search. See the C++ reference manual for IloCP.

Available for:: flow control