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...

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Bibliographic Details
Main Author: Ni, Ji
Other Authors: Rockett, Peter
Published: University of Sheffield 2013
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589326