Search Results - "Ammari, Bashar L."

Linear model decision trees as surrogates in optimization of engineering applications by Ammari, Bashar L., Johnson, Emma S., Stinchfield, Georgia, Kim, Taehun, Bynum, Michael, Hart, William E., Pulsipher, Joshua, Laird, Carl D.

“…Machine learning models are promising as surrogates in optimization when replacing difficult to solve equations or black-box type models. This work…”
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Optimization of Process Families for Deployment of Carbon Capture Processes using Machine Learning Surrogates by Stinchfield, Georgia, Ammari, Bashar L., Morgan, Joshua C., Siirola, John D., Zamarripa, Miguel, Laird, Carl D.

“…Traditional process design approaches focus on exploiting economies of scale but are inefficient when designing a large number of similar processes for…”
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Progressive Hedging for Optimization of Tree Ensembles as Objective Functions by Ammari, Bashar L., Bugosen, Sergio, Watson, Jean-Paul, Johnson, Emma S., Laird, Carl D.

“…Ensembles such as random forests and gradient boosted decision trees have become popular as surrogates in optimization problems. Large ensembles, however, may…”
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