Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm
This is the first attempt to combine the Multiobjective Billiards-Inspired Optimization Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well-distributed range of Pareto options. In this study, in order to determine an optimum solution for groundwater drawdown, pumpin...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/4531212 |
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| author | AbdolGhafour Gerey Amirpouya Sarraf Hassan Ahmadi |
| author_facet | AbdolGhafour Gerey Amirpouya Sarraf Hassan Ahmadi |
| author_sort | AbdolGhafour Gerey |
| collection | DOAJ |
| description | This is the first attempt to combine the Multiobjective Billiards-Inspired Optimization Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well-distributed range of Pareto options. In this study, in order to determine an optimum solution for groundwater drawdown, pumping rates were selected accompanied by three minimization objectives: minimizing shortage influenced by inability to supply, adjusted shortage index, and minimizing the degree of drawdown within predefined areas. To optimize hydraulic conductivity and specific yield parameters of a modular three-dimensional finite-difference (MODFLOW) groundwater model, the Harris Hawks optimization algorithm was used to minimize the sum of absolute deviation between observed and simulated water-table levels. MOBOA was then utilized to optimize pumping rate variables for an Iranian arid to semiarid groundwater environment using these parameters. As the study results, when the maximum and minimum aquifer drawdown was specified in the range of −40 to +40 cm/year, the Pareto parameter sets produced satisfactory results. Overall, the “Simulation-Optimization-Modelling” protocol was able to generate a series of optimal solutions that were shown on a Pareto front. The study concluded to an optimum approach that provides policy makers in the Iranian water stressed zones with safe groundwater management alternatives. |
| format | Article |
| id | doaj-art-3c5aceb422b942fbbcef1976bd2ac706 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-3c5aceb422b942fbbcef1976bd2ac7062025-02-03T06:12:20ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/45312124531212Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired AlgorithmAbdolGhafour Gerey0Amirpouya Sarraf1Hassan Ahmadi2Civil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, IranCivil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, IranCivil Engineering Department, Roudehen Branch, Islamic Azad University, Roudehen, IranThis is the first attempt to combine the Multiobjective Billiards-Inspired Optimization Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well-distributed range of Pareto options. In this study, in order to determine an optimum solution for groundwater drawdown, pumping rates were selected accompanied by three minimization objectives: minimizing shortage influenced by inability to supply, adjusted shortage index, and minimizing the degree of drawdown within predefined areas. To optimize hydraulic conductivity and specific yield parameters of a modular three-dimensional finite-difference (MODFLOW) groundwater model, the Harris Hawks optimization algorithm was used to minimize the sum of absolute deviation between observed and simulated water-table levels. MOBOA was then utilized to optimize pumping rate variables for an Iranian arid to semiarid groundwater environment using these parameters. As the study results, when the maximum and minimum aquifer drawdown was specified in the range of −40 to +40 cm/year, the Pareto parameter sets produced satisfactory results. Overall, the “Simulation-Optimization-Modelling” protocol was able to generate a series of optimal solutions that were shown on a Pareto front. The study concluded to an optimum approach that provides policy makers in the Iranian water stressed zones with safe groundwater management alternatives.http://dx.doi.org/10.1155/2021/4531212 |
| spellingShingle | AbdolGhafour Gerey Amirpouya Sarraf Hassan Ahmadi Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm Shock and Vibration |
| title | Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm |
| title_full | Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm |
| title_fullStr | Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm |
| title_full_unstemmed | Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm |
| title_short | Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm |
| title_sort | groundwater single and multiobjective optimization using harris hawks and multiobjective billiards inspired algorithm |
| url | http://dx.doi.org/10.1155/2021/4531212 |
| work_keys_str_mv | AT abdolghafourgerey groundwatersingleandmultiobjectiveoptimizationusingharrishawksandmultiobjectivebilliardsinspiredalgorithm AT amirpouyasarraf groundwatersingleandmultiobjectiveoptimizationusingharrishawksandmultiobjectivebilliardsinspiredalgorithm AT hassanahmadi groundwatersingleandmultiobjectiveoptimizationusingharrishawksandmultiobjectivebilliardsinspiredalgorithm |