Application of selection hyper-heuristics to the simultaneous optimisation of turbines and cabling within an offshore windfarm

Global warming has focused attention on how the world produces energy required to power planet. It driven a major need move away from using fossil fuels for production toward cleaner and more sustainable methods of producing renewable energy. The development offshore windfarms, which harness wind, is seen as viable approach creating but they can be difficult design efficiently. complexity their benefit significantly use computational optimisation. windfarm optimisation problem typically consists two smaller problems: turbine placement cable routing, are generally solved separately. This paper aims utilise selection hyper-heuristics optimise both routing simultaneously within one problem. identifies confirms feasibility consider cabling positioning same single Key results could not identify conclusive advantage combining this into opposed considering sequential problems.