Description Usage Arguments Details Value Author(s) References See Also Examples

Computes the mean number of generations requiered to reach a given fitness value. We have seen that this value is actually closer to the median of the final generation.

1 2 |

`filter` |
The |

`subset` |
Second level of filter. |

`fitness` |
The fitness value desired. The default is |

This function use `meanFitness`

to compute the mean number of generations from solutions, then it finds the generation whose fitness mean value is not below the specified fitness.

Return the expected mean generation.

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K. http://www.bip.bham.ac.uk/bioinf

Goldberg, David E. 1989 *Genetic Algorithms in Search, Optimization and Machine Learning*. Addison-Wesley Pub. Co. ISBN: 0201157675

For more information see `BigBang`

.
`*meanFitness()`

1 2 3 4 5 6 | ```
## Not run:
#bb is a BigBang object
meanGeneration(bb)
## End(Not run)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.