Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review
Article published by EDP Sciences in the International Journal for Simulation and Multidisciplinary Design Optimization, Volume 9, Pages A3
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024
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| Online Access: | https://doi.org/10.1051/smdo/2018001 https://scholar.mzumbe.ac.tz/handle/123456789/601 |
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| author | Fanuel, Ibrahim Mwita Mushi, Allen R. Kajunguri, Damian |
| author_facet | Fanuel, Ibrahim Mwita Mushi, Allen R. Kajunguri, Damian |
| author_sort | Fanuel, Ibrahim Mwita |
| collection | DSpace |
| description | Article published by EDP Sciences in the International Journal for Simulation and Multidisciplinary Design Optimization, Volume 9, Pages A3 |
| format | Article |
| id | oai:41.59.85.69:123456789-601 |
| institution | Mzumbe University |
| language | English |
| publishDate | 2024 |
| publisher | EDP Sciences |
| record_format | dspace |
| spelling | oai:41.59.85.69:123456789-6012024-04-21T18:06:28Z Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review Fanuel, Ibrahim Mwita Mushi, Allen R. Kajunguri, Damian Multi-objective irrigation pareto set evolutionary algorithm Article published by EDP Sciences in the International Journal for Simulation and Multidisciplinary Design Optimization, Volume 9, Pages A3 This paper analyzes more than 40 papers with a restricted area of application of Multi-Objective Genetic Algorithm, Non-Dominated Sorting Genetic Algorithm-II and Multi-Objective Differential Evolution (MODE) to solve the multi-objective problem in agricultural water management. The paper focused on different application aspects which include water allocation, irrigation planning, crop pattern and allocation of available land. The performance and results of these techniques are discussed. The review finds that there is a potential to use MODE to analyzed the multi-objective problem, the application is more significance due to its advantage of being simple and powerful technique than any Evolutionary Algorithm. The paper concludes with the hopeful new trend of research that demand effective use of MODE; inclusion of benefits derived from farm byproducts and production costs into the model. Private 2024-04-15T09:52:57Z 2024-04-15T09:52:57Z 2018 Article APA https://doi.org/10.1051/smdo/2018001 https://scholar.mzumbe.ac.tz/handle/123456789/601 en application/pdf EDP Sciences |
| spellingShingle | Multi-objective irrigation pareto set evolutionary algorithm Fanuel, Ibrahim Mwita Mushi, Allen R. Kajunguri, Damian Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review |
| title | Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review |
| title_full | Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review |
| title_fullStr | Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review |
| title_full_unstemmed | Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review |
| title_short | Irrigation water allocation optimization using Multi-Objective Evolutionary Algorithm (MOEA): A review |
| title_sort | irrigation water allocation optimization using multi objective evolutionary algorithm moea a review |
| topic | Multi-objective irrigation pareto set evolutionary algorithm |
| url | https://doi.org/10.1051/smdo/2018001 https://scholar.mzumbe.ac.tz/handle/123456789/601 |
| work_keys_str_mv | AT fanuelibrahimmwita irrigationwaterallocationoptimizationusingmultiobjectiveevolutionaryalgorithmmoeaareview AT mushiallenr irrigationwaterallocationoptimizationusingmultiobjectiveevolutionaryalgorithmmoeaareview AT kajunguridamian irrigationwaterallocationoptimizationusingmultiobjectiveevolutionaryalgorithmmoeaareview |