Summary of evolutionary computation for wind farm layout optimization

Wilson, Dennis G. and Rodrigues, Silvio and Segura, Carlos and Loshchilov, Ilya and Huer, Frank and Buenl, Guillermo López and Kheiri, Ahmed and Keedwell, Ed and Ocampo-Pineda, Mario and Özcan, Ender and Pea, Sergio Ivvan Valdez and Goldman, Brian and Rionda, Salvador Botello and Hernndez-Aguirre, Arturo and Veeramachaneni, Kalyan and Cussat-Blanc, Sylvain (2018) Summary of evolutionary computation for wind farm layout optimization. In: GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, JPN, pp. 31-32. ISBN 9781450357647

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Abstract

This paper presents the results of the second edition of the Wind Farm Layout Optimization Competition, which was held at the 22nd Genetic and Evolutionary Computation COnference (GECCO) in 2015. During this competition, competitors were tasked with optimizing the layouts of ve generated wind farms based on a sim-plied cost of energy evaluation function of the wind farm layouts. Online and oine APIs were implemented in C++, Java, Matlab and Python for this competition to oer a common framework for the competitors. e top four approaches out of eight participating teams are presented in this paper and their results are compared. All of the competitors' algorithms use evolutionary computation.

Item Type:
Contribution in Book/Report/Proceedings
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© The owners/authors, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion (2018) http://doi.acm.org/10.1145/3205651.3208208
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2614
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ID Code:
134221
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Deposited On:
22 Jun 2019 00:59
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Sep 2020 05:54