Templar: a Framework for Template-Method Hyper-Heuristics

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Swan:2015:EuroGP,

• author = "Jerry Swan and Nathan Burles",
• title = "{Templar:} a Framework for Template-Method Hyper-Heuristics",
• booktitle = "18th European Conference on Genetic Programming",
• year = "2015",
• editor = "Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim",
• series = "LNCS",
• volume = "9025",
• publisher = "Springer",
• pages = "205--216",
• address = "Copenhagen",
• month = "8-10 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, Generative hyper-heuristics, Template method, Energy profiling, Reduced power consumption, Quicksort: Poster",
• isbn13 = "978-3-319-16500-4",
• URL = "https://rdcu.be/drXjm",
• DOI = "doi:10.1007/978-3-319-16501-1_17",
• size = "12 pages",
• abstract = "In this work we introduce Templar, a software framework for customising algorithms via the generative technique of template-method hyper-heuristics. We first discuss the need for such an approach, presenting Quicksort as an example. We provide a functional definition of template-method hyper-heuristics, describe how this is implemented by Templar, and show how Templar may be invoked using simple client-code. Finally, we describe experiments using Templar to define a hyper-quicksort with the aim of reducing power consumption. The results demonstrate that the generated algorithm has significantly improved performance on the test set.",
• notes = "Part of \cite{Machado:2015:GP} EuroGP'2015 held in conjunction with EvoCOP2015, EvoMusArt2015 and EvoApplications2015",

}

Genetic Programming entries for Jerry Swan Nathan Burles

Citations