(1) Generate a number of datasets from the spec and random generator. |

(2) Read each dataset and generate a test service (and solution) from it. |

(3) Evaluate the fitness, or value, of each solution. |

(4) Place the solution evaluations in the grid, in a random order, and try to match. |

(a) A match is determined by a pre-defined allowed amount of difference. |

(b) Only a specified number of final matches are kept. |

(c) Also, keep the matches with the larger values. |

(d) Matched solutions are stored as pairs to be evolved. |

(5) Evolve the matched solutions to produce a new test set of original plus matched solutions. |

(6) The evolved solution can be an intersection or mutation of the original two solutions. |

(7) Measure the total average variable value of existing original solutions in the |

final set and the total average variable value of evolved solutions in the final set. |

(8) The evolved solutions should have an average value closer to the mean. |