Irrigation water allocation optimization using multi-objective evolutionary algorithm (MOEA) a review
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal for Simulation and Multidisciplinary Design Optimization
Abstract
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.
Description
Keywords
Multi-objective, irrigation, pareto set, evolutionary algorithm
Citation
Fanuel, I. M., Mushi, A., & Kajunguri, D. (2018). Irrigation water allocation optimization using multi-objective evolutionary algorithm (MOEA)− a review. International Journal for Simulation and Multidisciplinary Design Optimization, 9, A3.