Package jline.opt.variables

Class ClassServiceMapping

java.lang.Object

jline.opt.variables.DecisionVariable

jline.opt.variables.ClassServiceMapping

public class ClassServiceMapping
extends DecisionVariable

Optimize the class-to-station mapping by rerouting a job class through a selected candidate station and bypassing the others, preserving default routing of every other class. Per-node routing is reconstructed from the connection matrix (uniform split over outgoing links); for the mapped class the non-selected candidate columns are zeroed so no traffic enters them. Mirrors native-Python ClassServiceMapping.

Field Summary

Fields inherited from class jline.opt.variables.DecisionVariable

dimension, name

Constructor Summary

Constructors

Constructor	Description
ClassServiceMapping(JobClass jobclass, List<Station> stations)
ClassServiceMapping(JobClass jobclass, List<Station> stations, String name)

Method Summary

Modifier and Type	Method	Description
void	apply(Network model, Object value)	Apply a decoded value to a (copied) model.
Object	decode(double[] x)	Decode the encoded slice (length DecisionVariable.getDimension()) to a value.
double[][]	getBounds()	Bounds per encoded dimension, each {low, high}.
JobClass	getJobClass()
List<Station>	getStations()
String	getVariableType()	Type identifier used by decomposition and the gradient dispatcher.

Methods inherited from class jline.opt.variables.DecisionVariable

connectionMatrix, getDimension, getName, indexOfNode, resolveClass, resolveNode, unitBounds

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

ClassServiceMapping

public ClassServiceMapping(JobClass jobclass,
 List<Station> stations)

ClassServiceMapping

public ClassServiceMapping(JobClass jobclass,
 List<Station> stations,
 String name)

Method Details

getJobClass

public JobClass getJobClass()

getStations

public List<Station> getStations()

getBounds

public double[][] getBounds()

Description copied from class: DecisionVariable

Bounds per encoded dimension, each {low, high}. Standard is {0,1}.

Specified by:

getBounds in class DecisionVariable

decode

public Object decode(double[] x)

Description copied from class: DecisionVariable

Decode the encoded slice (length DecisionVariable.getDimension()) to a value.

Specified by:

decode in class DecisionVariable

apply

public void apply(Network model,
 Object value)

Description copied from class: DecisionVariable

Apply a decoded value to a (copied) model.

Specified by:

apply in class DecisionVariable

getVariableType

public String getVariableType()

Description copied from class: DecisionVariable

Type identifier used by decomposition and the gradient dispatcher.

Specified by:

getVariableType in class DecisionVariable