A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...
FORT LEONARD WOOD, Mo. — U.S. Army Maneuver Support Center of Excellence and Fort Leonard Wood leaders held a town hall Jan. 7 to discuss MSCoE’s role in bolstering a more efficient, agile and lethal ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Abstract: In this paper, we introduce a novel approach for addressing the multi-objective optimization problem in large language model merging via black-box multi-objective optimization algorithms.
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Abstract: This paper addresses multi-objective optimization problems using conflict-averse multi-objective extremum seeking (CAMOES) for unknown static mapping. As for the traditional multi-objective ...
Next to the primary optimization objectives, scientific optimization problems often contain a series of subordinate objectives, which can be expressed as preferences over either the outputs of an ...
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