usace.army.mil

Transformation and optimization, key objectives outlined during MSCoE town hall

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 ...
Frontiers

AgriPath: a robust multi-objective path planning framework for agricultural robots in dynamic field environments

A multi-objective optimization framework utilizing non-linear convergence and differential evolution to efficiently balance competing goals, and An improved Douglas–Peucker algorithm and a lightweight ...
IEEE

Automated Design of Power Module Packaging with Multi-Objectives Based on Artificial Neural Network and Deep Reinforcement Learning

Abstract: Traditional design methods for power module packaging heavily rely on manual experiences. Although the computer-aided optimization (CAO) methods utilizing metaheuristic algorithms for ...
IEEE

It’s Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-Objective Optimization

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.
Frontiers

A collaborative analysis based on multi-objective programming method for energy consumption reduction and governance investment

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...
Scientific Research Publishing

A Review of Research on the Transportation Problem ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...