Automatically designing more general mutation operators of evolutionary programming for groups of function classes using a hyper-heuristic

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Automatically designing more general mutation operators of evolutionary programming for groups of function classes using a hyper-heuristic

In this study we use Genetic Programming (GP) as an offline hyper-heuristic to evolve a mutation operator for Evolutionary Programming. This is done using the Gaussian and uniform distributions as the terminal set, and arithmetic operators as the function set. The mutation operators are automaticall...

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Bibliographic Details
Main Authors:	Hong, Libin, Drake, John H., Woodward, John R., Özcan, Ender
Format:	Conference or Workshop Item
Published:	2016
Online Access:	https://eprints.nottingham.ac.uk/35701/

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