Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
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.
Abstract: To address the challenge of collaborative optimization between surface shape accuracy and stiffness of large aperture space mirrors for optical remote sensors, a multiobjective optimization ...
The new interpreter will run Python programs as much as 5% faster, with no changes to existing code required. A beta of Python 3.14 is due in May. March 10 update ...
Most physicists operate under the assumption that there is a world out there that is entirely independent of us, an objective reality in which more-or-less well-defined things behave according to ...
You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...
This repository contains Evolutionary Algorithms that can be used for multi-objective optimization. Interactive optimization is supported. Methods such as RVEA and NSGA-III can be found here.
In the optimization tab, there are two options for entering 'Objective/Constraints': 'Simple Python Expression' and 'Custom Python'. Upon selecting 'Custom Python' the user is directed to create a ...
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