Proximity search heuristics for wind farm optimal layout

Martina Fischetti, Michele Monaci

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    A heuristic framework for turbine layout optimization in a wind farm is proposed that combines ad-hoc heuristics and mixed-integer linear programming. In our framework, large-scale mixed-integer programming models are used to iteratively refine the current best solution according to the recently-proposed proximity search paradigm. Computational results on very large scale instances involving up to 20,000 potential turbine sites prove the practical viability of the overall approach.
    Original languageEnglish
    JournalJournal of Heuristics
    Issue number4
    Pages (from-to)459–474
    Publication statusPublished - 2016


    • Heuristics
    • Mixed integer linear programming
    • Wind farm optimization
    • Electric utilities
    • Heuristic algorithms
    • Heuristic programming
    • Optimization
    • Turbines
    • Wind power
    • Ad-hoc heuristics
    • Computational results
    • Mixed integer programming model
    • Search heuristics
    • Turbine layouts
    • Wind farm
    • Integer programming


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