The University of Edinburgh -
Division of Informatics
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Research Paper #842

Title:The Single Chromosome's Guide to Dating
Authors:Ratford,MS; Tuson,AL; Thompson,HS
Date:Jan 1997
Presented:Accepted for the 3rd International Conference on Artificial Neural Networks and Genetic Algorithms
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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