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Non-adaptive and adaptive hybrid approaches for enhancing water quality management

DigitalCommons@USU

Field Value
Title Non-adaptive and adaptive hybrid approaches for enhancing water quality management
Creator Kalwij, I. Peralta, Richard C.
Description Using optimization to help solve groundwater management problems cost-effectively is becoming increasingly important. Hybrid optimization approaches, that combine two or more optimization algorithms, will become valuable and common tools for addressing complex nonlinear hydrologic problems. Hybrid heuristic optimizers have capabilities far beyond those of a simple genetic algorithm (SGA), and are continuously improving. SGAs having only parent selection, crossover, and mutation are...
Date 2008-01-01T08:00:00Z
Type text
Identifier https://digitalcommons.usu.edu/cee_facpub/931 info:doi/10.1016/j.jhydrol.2008.05.036
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Source Civil and Environmental Engineering Faculty Publications
Publisher Hosted by Utah State University Libraries
Subject adaptive water quality management UWRL Civil and Environmental Engineering

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