Normalizer

java.lang.Object
- org.opt4j.optimizer.ea.Normalizer

All Implemented Interfaces:

IndividualStateListener
```
public class Normalizer
extends Object
implements IndividualStateListener
```
The Normalizer can be used to normalize Objectives.

Constructor Summary

Constructors
Constructor Description

Normalizer()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`inidividualStateChanged(Individual individual)`	Invoked if the `Individual` changes its state.
`Objectives`	`normalize(Objectives objectives)`	Returns normalized objectives.
`static double`	`toMinProblem(Objective objective, Value<?> value)`	Transforms the the `Objective` to a minimization objective, i.e.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Normalizer
```
public Normalizer()
```
- Method Detail
  - normalize
```
public Objectives normalize(Objectives objectives)
```
    Returns normalized objectives. Each objective is in the range between 0 and 1 and has to be minimized. Here, 0 is the smallest value seen so far for this objective for all evaluated Individuals and 1 the biggest value, respectively. If an objective is infeasible, it is set to 1.
    
    Parameters:
    
    objectives - the objectives to normalize
    
    Returns:
    
    the normalized objectives
  - inidividualStateChanged
```
public void inidividualStateChanged(Individual individual)
```
    Description copied from interface: IndividualStateListener
    
    Invoked if the Individual changes its state.
    
    Specified by:
    
    inidividualStateChanged in interface IndividualStateListener
    
    Parameters:
    
    individual - the individual that changes the state
  - toMinProblem
```
public static final double toMinProblem(Objective objective,
                                        Value<?> value)
```
    Transforms the the Objective to a minimization objective, i.e. if the given objective is to be maximized, the negation of the given value is returned.
    
    Parameters:
    
    objective - the respective objective
    
    value - the value to transform
    
    Returns:
    
    the corresponding double value