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Communication Dans Un Congrès Année : 2014

A Continuous Developmental Model for Wind Farm Layout Optimization

Résumé

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.
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hal-03665939 , version 1 (12-05-2022)

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Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Hervé Luga. A Continuous Developmental Model for Wind Farm Layout Optimization. Genetic and Evolutionary Computation COnference (GECCO 2014), ACM Special Interest Group on Genetic and Evolutionary Computation operates an annual Genetic and Evolutionary Computation Conference (GECCO), Jul 2014, Vancouver, Canada. pp.745-752, ⟨10.1145/2576768.2598383⟩. ⟨hal-03665939⟩
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