Abstract
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This paper shows that statistical algorithms proposed for the quantitative trait loci (QTL) mapping problem, and the equation of the multivariate response to selection can be of application in multi-objective optimization. We introduce the conditional dominance relationships between the objectives and propose the use of results from QTL analysis and G-matrix theory to the analysis of multi-objective evolutionary algorithms (MOEAs). | |
International
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Si |
Congress
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13th annual conference on Genetic and evolutionary computation (GECCO'11) |
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960 |
Place
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Dublin, Ireland |
Reviewers
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Si |
ISBN/ISSN
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978-1-4503-0690-4 |
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Start Date
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12/07/2011 |
End Date
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16/07/2011 |
From page
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91 |
To page
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92 |
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Proceedings of the 13th annual conference on Genetic and evolutionary computation |