Search Results - "Kollat, J.B."

Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design by Kollat, J.B., Reed, P.M.

“…This study compares the performances of four state-of-the-art evolutionary multi-objective optimization (EMO) algorithms: the Non-Dominated Sorted Genetic…”
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A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications by Kollat, J.B., Reed, P.M.

“…This study contributes a detailed assessment of how increasing problem sizes (measured in terms of the number of decision variables being considered) impacts…”
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new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems by Kollat, J.B, Reed, P.M, Kasprzyk, J.R

“…This study focuses on the development of a next generation multiobjective evolutionary algorithm (MOEA) that can learn and exploit complex interdependencies…”
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Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications by Tang, Y., Reed, P.M., Kollat, J.B.

“…This study uses a formal metrics-based framework to demonstrate the Master–Slave (MS) and the Multiple-Population (MP) parallelization schemes for the…”
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Evolutionary multiobjective optimization in water resources: The past, present, and future by Reed, P.M., Hadka, D., Herman, J.D., Kasprzyk, J.R., Kollat, J.B.

“…► Evaluation of multi-objective evolutionary algorithms for water resources. ► Contributes a new comprehensive diagnostic framework for MOEA evaluation. ►…”
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Save now, pay later? Multi-period many-objective groundwater monitoring design given systematic model errors and uncertainty by Reed, P.M., Kollat, J.B.

“…► Demonstrates Adaptive Strategies for Sampling in Space and Time (ASSIST) framework. ► ASSIST is capable of overcoming severe systematic modeling errors. ►…”
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