## Crynodeb

Genetic algorithms are generally used to search for global optima. However, for many engineering /simulation applications a robust solution is desired, which may not correspond to the global optimum of the given problem. This paper describes a genetic algorithm using diploid chromosomes, which favours robust local optima rather than a less robust global optimum in a problem space. Diploid chromosomes are created with two binary haploid chromosomes, which are used to create a schema. The schema then used to measure the fitness of a family of solutions. The results of experiments using a bi-modal fitness function with one local optimum and a fitter less robust global optimum show that the optima in the problem space representing the more robust solution is found almost 100% of the time.

Iaith wreiddiol | Saesneg |
---|---|

Tudalennau (o-i) | 73-79 |

Nifer y tudalennau | 7 |

Cyfnodolyn | International Journal of Simulation: Systems, Science and Technology |

Cyfrol | 6 |

Rhif cyhoeddi | 9 |

Statws | Cyhoeddwyd - 1 Awst 2005 |