EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InProceedings{pillay:2017:CEC,

• author = "Nelishia Pillay and Derrick Beckedahl",
• booktitle = "2017 IEEE Congress on Evolutionary Computation (CEC)",
• title = "EvoHyp - a Java toolkit for evolutionary algorithm hyper-heuristics",
• year = "2017",
• editor = "Jose A. Lozano",
• pages = "2706--2713",
• address = "Donostia, San Sebastian, Spain",
• publisher = "IEEE",
• isbn13 = "978-1-5090-4601-0",
• abstract = "Hyper-heuristics is an emergent technology that has proven to be effective at solving real-world problems. The two main categories of hyper-heuristics are selection and generation. Selection hyper-heuristics select existing low-level heuristics while generation hyper-heuristics create new heuristics. At the inception of the field single point searches were essentially employed by selection hyper-heuristics, however as the field progressed evolutionary algorithms are becoming more prominent. Evolutionary algorithms, namely, genetic programming, have chiefly been used for generation hyper-heuristics. Implementing evolutionary algorithm hyper-heuristics can be quite a time-consuming task which is daunting for first time researchers and practitioners who want to rather focus on the application domain the hyper-heuristic will be applied to which can be quite complex. This paper presents a Java toolkit for the implementation of evolutionary algorithm hyper-heuristics, namely, EvoHyp. EvoHyp includes libraries for a genetic algorithm selection hyper-heuristic (GenAlg), a genetic programming generation hyper-heuristic (GenProg), a distributed version of GenAlg (DistrGenAlg) and a distributed version of GenProg (DistrGenProg). The paper describes the libraries and illustrates how they can be used. The ultimate aim is to provide a toolkit which a non-expert in evolutionary algorithm hyper-heuristics can use. The paper concludes with an overview of future extensions of the toolkit.",
• keywords = "genetic algorithms, genetic programming, Java, evolutionary computation, DistrGenAlg, DistrGenProg, EvoHyp, Java toolkit, distributed GenAlg, distributed GenProg, evolutionary algorithm hyper-heuristics, generation hyper-heuristics, genetic algorithm selection hyper-heuristic, genetic programming generation hyper-heuristic, low-level heuristics, Biological cells, Libraries, Sociology, Statistics",
• isbn13 = "978-1-5090-4601-0",
• DOI = "doi:10.1109/CEC.2017.7969636",
• month = "5-8 " # jun,
• notes = "IEEE Catalog Number: CFP17ICE-ART Also known as \cite{7969636}",

}

Genetic Programming entries for Nelishia Pillay Derrick Beckedahl

Citations