A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings

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A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings

Memetic algorithms are a class of well-studied metaheuristics which combine evolutionary algorithms and local search techniques. A meme represents contagious piece of information in an adaptive information sharing system. The canonical memetic algorithm uses a fixed meme, denoting a hill climbing op...

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Bibliographic Details
Main Authors:	Özcan, Ender, Drake, John H., Altıntaş, Cevriye, Asta, Shahriar
Format:	Article
Published:	Elsevier 2016
Subjects:	Memetic Algorithms Multimeme Memetic Algorithms Reinforcement Learning Hyper-heuristics Combinatorial Optimisation
Online Access:	https://eprints.nottingham.ac.uk/36067/

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