Wilson, Dennis, Cussat-Blanc, Sylvain, Veeramachaneni, Kalyan, O'Reilly, Una-May and Luga, Hervé (2014) A Continuous Developmental Model for Wind Farm Layout Optimization. In: Genetic and Evolutionary Computation COnference - GECCO 2014, 12 July 2014 - 16 July 2014, Vancouver, Canada.

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We present Devo-II, an improved cell-based developmental model for wind farm layout optimization. To address the shortcomings of discretization, Devo-II's gene regulatory networks control cells that act in a continuous rather than discretized grid space. We find that Devo-II is competitive, and in some cases, superior with respect to state- of-the-art global, stochastic search approaches when a suite of algorithms is evaluated on different wind scenarios. The modularity of the genetic regulatory network computational paradigm in terms of isolating its search algorithm, the regulatory network simulation and the cell simulation, allowed this improvement to largely focus upon cell simulation. This indicates a robustness property of the paradigm's design. As well, wind farm layout optimization highlights how developmental models can be considered more efficient than other optimization methods because of their "optimize once, use-many" adaptability.

Item Type: Conference or Workshop Item (Paper)
Date: 2014
Uncontrolled Keywords: Layout optimization - Developmental model - Gene regulatory network - Machine learning
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 22 Feb 2019 15:04
Last Modified: 02 Apr 2021 15:59
URI: https://publications.ut-capitole.fr/id/eprint/30095
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