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## org.encog.ml.anneal
Class SimulatedAnnealing<UNIT_TYPE>

    java.lang.Object
      org.encog.ml.anneal.SimulatedAnnealing<UNIT_TYPE>

Type Parameters:
  `UNIT_TYPE` - What type of data makes up the solution.

Direct Known Subclasses:
  NeuralSimulatedAnnealingHelper

    public abstract class SimulatedAnnealing<UNIT_TYPE>

extends Object

Simulated annealing is a common training method. This class implements a simulated annealing algorithm that can be used both for neural networks, as well as more general cases. This class is abstract, so a more specialized simulated annealing subclass will need to be created for each intended use. This book demonstrates how to use the simulated annealing algorithm to train feedforward neural networks, as well as find a solution to the traveling salesman problem. The name and inspiration come from annealing in metallurgy, a technique involving heating and controlled cooling of a material to increase the size of its crystals and reduce their defects. The heat causes the atoms to become unstuck from their initial positions (a local minimum of the internal energy) and wander randomly through states of higher energy; the slow cooling gives them more chances of finding configurations with lower internal energy than the initial one.

Constructor Summary
`SimulatedAnnealing()`

Method Summary
`abstract double` | `calculateScore()` Subclasses should provide a method that evaluates the score for the current solution.
`abstract UNIT_TYPE[]` | `getArray()` Subclasses must provide access to an array that makes up the solution.
`abstract UNIT_TYPE[]` | `getArrayCopy()` Get a copy of the array.
`int` | `getCycles()`
`double` | `getScore()`
`double` | `getStartTemperature()`
`double` | `getStopTemperature()`
`double` | `getTemperature()`
`boolean` | `isShouldMinimize()`
`void` | `iteration()` Called to perform one cycle of the annealing process.
`abstract void` | `putArray(UNIT_TYPE[] array)` Store the array.
`abstract void` | `randomize()` Randomize the weight matrix.
`void` | `setCycles(int theCycles)`
`void` | `setScore(double theScore)` Set the score.
`void` | `setShouldMinimize(boolean theShouldMinimize)` Should the score be minimized.
`void` | `setStartTemperature(double theStartTemperature)`
`void` | `setStopTemperature(double theStopTemperature)`
`void` | `setTemperature(double theTemperature)`

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

Constructor Detail

### SimulatedAnnealing

    public SimulatedAnnealing()

Method Detail

### calculateScore

    public abstract double calculateScore()

  Subclasses should provide a method that evaluates the score for the current solution. Those solutions with a lower score are better.

  Returns:
    Return the score.

### getArray

    public abstract UNIT_TYPE[] getArray()

  Subclasses must provide access to an array that makes up the solution.

  Returns:
    An array that makes up the solution.

### getArrayCopy

    public abstract UNIT_TYPE[] getArrayCopy()

  Get a copy of the array.

  Returns:
    A copy of the array.

### getCycles

    public final int getCycles()

  Returns:
    the cycles

### getScore

    public final double getScore()

  Returns:
    the globalScore

### getStartTemperature

    public final double getStartTemperature()

  Returns:
    the startTemperature

### getStopTemperature

    public final double getStopTemperature()

  Returns:
    the stopTemperature

### getTemperature

    public final double getTemperature()

  Returns:
    the temperature

### isShouldMinimize

    public final boolean isShouldMinimize()

  Returns:
    True if the score should be minimized.

### iteration

    public final void iteration()

  Called to perform one cycle of the annealing process.

### putArray

    public abstract void putArray(UNIT_TYPE[] array)

  Store the array.

  Parameters:
    `array` - The array to be stored.

### randomize

    public abstract void randomize()

  Randomize the weight matrix.

### setCycles

    public final void setCycles(int theCycles)

  Parameters:
    `theCycles` - the cycles to set

### setScore

    public final void setScore(double theScore)

  Set the score.

  Parameters:
    `theScore` - The score to set.

### setShouldMinimize

    public final void setShouldMinimize(boolean theShouldMinimize)

  Should the score be minimized.

  Parameters:
    `theShouldMinimize` - True if the score should be minimized.

### setStartTemperature

    public final void setStartTemperature(double theStartTemperature)

  Parameters:
    `theStartTemperature` - the startTemperature to set

### setStopTemperature

    public final void setStopTemperature(double theStopTemperature)

  Parameters:
    `theStopTemperature` - the stopTemperature to set

### setTemperature

    public final void setTemperature(double theTemperature)

  Parameters:
    `theTemperature` - the temperature to set

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