org.licas.ai_solver.model.central

Class SingleSolution

java.lang.Object

org.licas.ai_solver.model.Solution

org.licas.ai_solver.model.central.SingleSolution

All Implemented Interfaces:

SolutionDef, SolutionSolveDef

Direct Known Subclasses:

SearchSolution

public class SingleSolution
extends Solution
implements SolutionSolveDef

This class can be used for modelling single problem solutions. It includes the evaluator, the dataset to evaluate and must implement a solve method.

Field Summary

Fields

Modifier and Type	Field and Description
protected org.ai_heuristic.eval.metric.MetricDataset	dataset The dataset to evaluate
protected org.ai_heuristic.functs.Function	evaluator Used to evaluate the datasets

Fields inherited from class org.licas.ai_solver.model.Solution

evaluation, name

Constructor Summary

Constructors

Constructor and Description
SingleSolution(java.lang.String thisName) Create a new instance of SingleSolution.

Method Summary

Modifier and Type	Method and Description
java.lang.Object	clone() Create and return a copy of this solution.
org.ai_heuristic.eval.metric.MetricDataset	getDataset() Get the stored dataset.
void	setDataset(org.ai_heuristic.eval.metric.MetricDataset thisDataset) Set the dataset to be evaluated as this solution.
void	setEvaluator(org.ai_heuristic.functs.Function thisEvaluator) Set the evaluator used to evaluate the datasets.
void	solve(java.util.HashMap<java.lang.String,?> inputVariables) Calculate the result of this solution over the dataset.

Methods inherited from class org.licas.ai_solver.model.Solution

getEvaluation, getName, setEvaluation, setName

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.licas.ai_solver.def.SolutionDef

getEvaluation, getName, setEvaluation, setName

Field Detail

evaluator

protected org.ai_heuristic.functs.Function evaluator

Used to evaluate the datasets

dataset

protected org.ai_heuristic.eval.metric.MetricDataset dataset

The dataset to evaluate

Constructor Detail

SingleSolution

public SingleSolution(java.lang.String thisName)
               throws java.lang.Exception

Create a new instance of SingleSolution.

Parameters:

thisName - the solution name.

Throws:

java.lang.Exception - any error.

Method Detail

solve

public void solve(java.util.HashMap<java.lang.String,?> inputVariables)
           throws java.lang.Exception

Calculate the result of this solution over the dataset. The input variables are not used.

Specified by:

solve in interface SolutionSolveDef

Parameters:

inputVariables - an additional set of input variables or constraints. This can be null or empty. Use setDataset and setEvaluator to set the parameters.

Throws:

java.lang.Exception - any error.

setEvaluator

public void setEvaluator(org.ai_heuristic.functs.Function thisEvaluator)

Set the evaluator used to evaluate the datasets.

Parameters:

thisEvaluator - the function evaluator.

setDataset

public void setDataset(org.ai_heuristic.eval.metric.MetricDataset thisDataset)

Set the dataset to be evaluated as this solution.

Parameters:

thisDataset - the dataset to evaluate.

getDataset

public org.ai_heuristic.eval.metric.MetricDataset getDataset()

Get the stored dataset.

Returns:

the value of dataset.

clone

public java.lang.Object clone()

Create and return a copy of this solution.

Overrides:

clone in class java.lang.Object

Returns:

a shallow copy of this solution.