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Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation.

, , , , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 695-706. Springer, (2019)

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Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective Optimization., , and . GECCO (Companion), page 1113-1120. ACM, (2016)A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization., , , and . IEEE Trans. Evol. Comput., 23 (1): 104-116 (2019)Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization., , and . SSCI, page 1188-1195. IEEE, (2018)Trust-region based algorithms with low-budget for multi-objective optimization., , , and . GECCO (Companion), page 195-196. ACM, (2018)Evolutionary Path Control Strategy for Solving Many-Objective Optimization Problem., , , and . IEEE Trans. Cybern., 45 (4): 702-715 (2015)Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach., and . CVPR, page 2586-2594. Computer Vision Foundation / IEEE, (2019)Trust-Region Based Multi-objective Optimization for Low Budget Scenarios., , , and . EMO, volume 11411 of Lecture Notes in Computer Science, page 373-385. Springer, (2019)Crop yield simulation optimization using precision irrigation and subsurface water retention technology., , , , , and . Environ. Model. Softw., (2019)Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results., , , and . EMO, volume 10173 of Lecture Notes in Computer Science, page 160-175. Springer, (2017)An Efficient Nondominated Sorting Algorithm for Large Number of Fronts., , and . IEEE Trans. Cybern., 49 (3): 859-869 (2019)