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BlockCopy-based operators for evolving efficient wind farm layouts

Abstract
A novel search operator, BlockCopy, is proposed for efficiently solving the wind farm layout optimisation problem. BlockCopy, which can be used either as mutation or a crossover operator, copies patterns of turbines from part of a layout to another part. The target layout may be the same as the source, or a different layout altogether. The rationale behind this is that it is the relative configurations of turbines rather than their individual absolute positions on the layouts that count, and BlockCopy, for the most part, maintains relative configurations. Our evaluation on four benchmark scenarios shows that BlockCopy outperforms two other standard approaches (namely, the turbine displacement algorithm and random perturbation) from the literature. We also evaluate the BlockCopy operator in conjunction with both singlesolution and population-based strategies.
Type
Conference Contribution
Type of thesis
Series
Citation
Mayo, M., & Zheng, C. (2016). BlockCopy-based operators for evolving efficient wind farm layouts. In Proceedings of 2016 IEEE Congress on Evolutionary Computation, 24-29 July 2016, Vancouver, Canada (pp. 1085–1092). Washington, DC, USA: IEEE. http://doi.org/10.1109/CEC.2016.7743909
Date
2016
Publisher
IEEE
Degree
Supervisors
Rights
This is an author’s accepted version of an article published in the Proceedings of 2016 IEEE Congress on Evolutionary Computation. © 2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.