Enhancement of model generalisation in multiobjective genetic programming
Multiobjective genetic programming (MOGP) is a powerful evolutionary algorithm that requires no human pre-fixed model sets to handle regression and classification problems in the machine learning area. We aim to improve the model generalisation of MOGP in both regression and classification tasks. Th...
Main Author: | Ni, Ji |
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Other Authors: | Rockett, Peter |
Published: |
University of Sheffield
2013
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Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589326 |
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