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## org.apache.commons.math3.optimization.direct
Class CMAESOptimizer.PopulationSize

    java.lang.Object
      org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize

All Implemented Interfaces:
  OptimizationData

Enclosing class:
  CMAESOptimizer

    public static class CMAESOptimizer.PopulationSize

extends Object
implements OptimizationData

Population size. The number of offspring is the primary strategy parameter. In the absence of better clues, a good default could be an integer close to `4 + 3 ln(n)`, where `n` is the number of optimized parameters. Increasing the population size improves global search properties at the expense of speed (which in general decreases at most linearly with increasing population size).

Since:
  3.1

Constructor Summary
`CMAESOptimizer.PopulationSize(int size)`

Method Summary
`int` | `getPopulationSize()`

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

Constructor Detail

### CMAESOptimizer.PopulationSize

    public CMAESOptimizer.PopulationSize(int size)
                                  throws NotStrictlyPositiveException

Parameters:
  `size` - Population size.
Throws:
  `NotStrictlyPositiveException` - if `size <= 0`.

Method Detail

### getPopulationSize

    public int getPopulationSize()

  Returns:
    the population size.

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