## Abstract

A macroscopic kinetic equation of only four variables for a simple genetic algorithm (SGA) with an on-off type of replication operator and a crossover operator is developed and used to predict several types of evolutionary routes for a wide range of metabolic-rate-controlling parameters, initial conditions, string lengths, population sizes, and environments. The four variables correspond to the probabilities of the best-adapted species and three mutant groups into which degenerate and redundant strings are classified according to the Hamming distance (HD). The time-dependent frequency distribution along the fitness value is given by an implicit formulation. The environment is also defined in the HD-fitness value space as the frequency distribution of all the possible types of strings without redundancy. It is found that the SGA possesses the capability for exploring quasi-macroevolution.

Original language | English |
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Pages (from-to) | 87-133 |

Number of pages | 47 |

Journal | Japan Journal of Industrial and Applied Mathematics |

Volume | 15 |

Issue number | 1 |

DOIs | |

Publication status | Published - 1998 Feb |

Externally published | Yes |

## Keywords

- Degeneracy structure
- Evolutionary stability
- Genetic algorithm
- Macroscopic kinetic equation
- Quasi-macroevolution

## ASJC Scopus subject areas

- Engineering(all)
- Applied Mathematics