Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm

This is the first attempt to combine Multiobjective Billiards-Inspired Optimization Algorithm (MOBOA) with groundwater modelling determine pumping rates within a well-distributed range of Pareto options. In this study, in order an optimum solution for drawdown, were selected accompanied by three minimization objectives: minimizing shortage influenced inability supply, adjusted index, and degree drawdown predefined areas. To optimize hydraulic conductivity specific yield parameters modular three-dimensional finite-difference (MODFLOW) model, Harris Hawks optimization algorithm was used minimize sum absolute deviation between observed simulated water-table levels. MOBOA then utilized rate variables Iranian arid semiarid environment using these parameters. As study results, when maximum minimum aquifer specified −40 +40 cm/year, parameter sets produced satisfactory results. Overall, “Simulation-Optimization-Modelling” protocol able generate series optimal solutions that shown on front. The concluded approach provides policy makers water stressed zones safe management alternatives.