GeneralizedDEOptimizer

java.lang.Object
- pal.math.MultivariateMinimum
- - pal.math.GeneralizedDEOptimizer

```
public class GeneralizedDEOptimizer
extends MultivariateMinimum
```
Provides an general interface to the DifferentialEvolution class that is not tied to a certain number of parameters (as DifferentialEvolution is). Works but creating a new DiffentialEvolution engine when presented with a new number of parameters. All the actual optimisation work is handled by DifferentialEvolution.,

Version:

$Id: GeneralizedDEOptimizer.java,v 1.8 2003/05/30 08:51:10 matt Exp $

Author:

Matthew Goode

Nested Class Summary
- Nested classes/interfaces inherited from class pal.math.MultivariateMinimum
  MultivariateMinimum.Factory

Field Summary
- Fields inherited from class pal.math.MultivariateMinimum
  maxFun, numFun, numFuncStops

Constructor Summary

Constructors
Constructor Description

GeneralizedDEOptimizer()

GeneralizedDEOptimizer(int populationSize)

Constructors
Constructor	Description
`GeneralizedDEOptimizer()`
`GeneralizedDEOptimizer(int populationSize)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static MultivariateMinimum.Factory`	`generateFactory()`	Generate a MultivariateMinimum.Factory for an GeneralizedDEOptimiser with a population size proportional to the size of the problem
`static MultivariateMinimum.Factory`	`generateFactory(int populationSize)`	Generate a MultivariateMinimum.Factory for an GeneralizedDEOptimiser with a set population size
`void`	`optimize(MultivariateFunction f, double[] xvec, double tolfx, double tolx)`	The actual optimization routine It finds a minimum close to vector x when the absolute tolerance for each parameter is specified.
`void`	`optimize(MultivariateFunction f, double[] xvec, double tolfx, double tolx, MinimiserMonitor monitor)`	The actual optimization routine It finds a minimum close to vector x when the absolute tolerance for each parameter is specified.

Methods inherited from class pal.math.MultivariateMinimum
copy, findMinimum, findMinimum, findMinimum, stopCondition

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

- Constructor Detail
  - GeneralizedDEOptimizer
```
public GeneralizedDEOptimizer()
```
  - GeneralizedDEOptimizer
```
public GeneralizedDEOptimizer(int populationSize)
```
- Method Detail
  - optimize
```
public void optimize(MultivariateFunction f,
                     double[] xvec,
                     double tolfx,
                     double tolx)
```
    The actual optimization routine It finds a minimum close to vector x when the absolute tolerance for each parameter is specified.
    
    Specified by:
    
    optimize in class MultivariateMinimum
    
    Parameters:
    
    f - multivariate function
    
    xvec - initial guesses for the minimum (contains the location of the minimum on return)
    
    tolfx - absolute tolerance of function value
    
    tolx - absolute tolerance of each parameter
  - optimize
```
public void optimize(MultivariateFunction f,
                     double[] xvec,
                     double tolfx,
                     double tolx,
                     MinimiserMonitor monitor)
```
    The actual optimization routine It finds a minimum close to vector x when the absolute tolerance for each parameter is specified.
    
    Overrides:
    
    optimize in class MultivariateMinimum
    
    Parameters:
    
    f - multivariate function
    
    xvec - initial guesses for the minimum (contains the location of the minimum on return)
    
    tolfx - absolute tolerance of function value
    
    tolx - absolute tolerance of each parameter
    
    monitor - A monitor object that receives information about the minimising process (for display purposes)
  - generateFactory
```
public static final MultivariateMinimum.Factory generateFactory(int populationSize)
```
    Generate a MultivariateMinimum.Factory for an GeneralizedDEOptimiser with a set population size
    
    Parameters:
    
    populationSize - The set population size
  - generateFactory
```
public static final MultivariateMinimum.Factory generateFactory()
```
    Generate a MultivariateMinimum.Factory for an GeneralizedDEOptimiser with a population size proportional to the size of the problem

Class GeneralizedDEOptimizer

Nested Class Summary

Nested classes/interfaces inherited from class pal.math.MultivariateMinimum

Field Summary

Fields inherited from class pal.math.MultivariateMinimum

Constructor Summary

Method Summary

Methods inherited from class pal.math.MultivariateMinimum

Methods inherited from class java.lang.Object

Constructor Detail

GeneralizedDEOptimizer

GeneralizedDEOptimizer

Method Detail

optimize

optimize

generateFactory

generateFactory