Oil & Gas Journal

Closed-loop optimization improves Permian gas lift

A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...
Nature

Deep reinforcement learning-driven multi-objective optimization and its applications on lighting infrastructure operation and maintenance strategy

Tunnel lighting systems serve as critical infrastructure that enhances traffic safety and operational stability, with their reliability and operational status directly influencing drivers’ visual ...
LinkedIn

Bayesian Optimization Literature Review Series 2: BoFire: A Tailored Bayesian Optimization Framework for Chemical Experiments

In chemical research and industrial production, experimental optimization has long been a time-consuming and labor-intensive challenge. From adjusting reaction temperature and pressure to improve ...
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 ...
LinkedIn

Multi-Focus Objectives Market Segmentation and Regional Performance Analysis

The Multi-Focus Objectives Market, valued at 8.12 billion in 2025, is expected to expand at a CAGR of 14.49% between 2026 and 2033, reaching approximately 18.29 billion by 2033. This growth is driven ...
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 ...
Scientific Research Publishing

Multi-Objective Optimization of Front Landing Gear Impact Based on Multivariate Nonlinear Regression ()

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...
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

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Nature

Multi-objective optimization design for accelerated degradation test based on game theory

Accelerated degradation test is an effective way for the rapid reliability assessment of mechanical systems. Most of the existing optimization methods for accelerated degradation tests aim to optimize ...
IEEE

Conflict-Averse Multi-Objective Extremum Seeking and Its Application in Wastewater Treatment Processes

Abstract: This paper addresses multi-objective optimization problems using conflict-averse multi-objective extremum seeking (CAMOES) for unknown static mapping. As for the traditional multi-objective ...