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Erschienen in:
1998 | OriginalPaper | Buchkapitel
The Single Chromosome’s Guide to Dating
verfasst von : M. Ratford, A. Tuson, H. Thompson
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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In nature, sexually reproducing organisms do not mate indiscriminately — the choice of mate has an impact upon their offspring’s fitness. The investigation described here shows that, for a wide range of problems in the literature, using sexual selection proved to be a robust method for enhancing genetic algorithm performance. In addition, this investigation provides evidence for which parameters are important for a successful implementation.