Research Paper #842
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Title: | The Single Chromosome's Guide to Dating
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Authors: | Ratford,MS; Tuson,AL; Thompson,HS
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Date: | Jan 1997
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Presented: | Accepted for the 3rd International Conference on Artificial Neural Networks and Genetic Algorithms
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Keywords: |
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Abstract: | In nature, sexually reproducing organisms do not mate indiscriminantley - 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.
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