Grammatical evolution hyper-heuristic for combinatorial optimization problems

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Grammatical evolution hyper-heuristic for combinatorial optimization problems

Designing generic problem solvers that perform well across a diverse set of problems is a challenging task. In this work, we propose a hyper-heuristic framework to automatically generate an effective and generic solution method by utilizing grammatical evolution. In the proposed framework, grammatic...

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Bibliographic Details
Main Authors:	Sabar, Nasar, Ayob, Masri, Kendall, Graham, Qu, Rong
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2013
Online Access:	https://eprints.nottingham.ac.uk/28282/

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