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.

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

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 ...

This project presents a multi product, multi period inventory and production optimization model. The objective is to determine optimal monthly production, inventory holding, and backorder decisions ...

This framework implements multi-objective optimization approaches to find optimal trade-offs between Performance and Cost when assigning Large Language Models (LLMs) to agents in a multi-agent system.