Real-time energy optimization of irrigation scheduling by parallel multi-objective genetic algorithms

•The methodology minimizes the cost of energy while maximizes service pressures.•Cost reductions of about 6–7% were reached for scenarios without pressure deficit.•Computation time was reduced by almost 80%.•The optimizer was implemented as a series of web services by API-REST technology. The presen...

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