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

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

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 ...
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

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
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 ...
science.psu

Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling

Numerical optimization plays a vital role in the design of complex engineered systems. Real world engineered systems are seldom designed based on a single objective; rather they involve multiple ...