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.

The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...

Nathan Round, part of GameRant's talented Game Guides Team, is the leading voice for Call of Duty guides. From meta loadouts to the best weapons for each season, he takes pride in crafting top-notch ...

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 ...

For centuries, the phrase "beauty is in the eye of the beholder" has dominated discussions of aesthetics. This adage suggests that beauty is entirely subjective—what one person finds attractive, ...

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 ...

Scientists from Peking University developed a new Python package for efficient implementation of the Evidential Reasoning approach for multi-source evidence fusion. Researchers from Peking University ...

Discover actionable tips for aligning your content with AI algorithms and boosting your brand’s presence in an AI-driven world. Generative AI is transforming how consumers discover and engage with ...

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 ...