Collaborative Optimization of Automotive Suspension Dampers Based on PERA Intelligent Solutions

This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...

Zhanjiang Wenhui Information Technology Applies for Microgrid Scheduling Patent for Smart Parks, Supporting Optimized Control of Renewable Energy

Against the backdrop of increasing global demand for renewable energy, Zhanjiang Wenhui Information Technology Co., Ltd. successfully applied for a patent in June 2025 titled "An Intelligent ...
Informationsdienst Wissenschaft

Optimizing the performance potential of wind turbines: LATODA and Fraunhofer IWES develop AI analysis method

In the "WindKI" research project, the Fraunhofer Institute for Wind Energy Systems IWES and the AI company LATODA are developing a new method that detects performance losses in wind turbines at an ...
American Institute of Physics

Combined algorithm improves power generation by mitigation partial shading conditions

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.
EurekAlert!

Efficient ethane separation from natural gas using ZIF-8 slurry

Slurry-based absorption–adsorption enables efficient ethane recovery from natural gas, reducing energy use while ensuring high purity and recovery in CH4/C2H6 separation.
Semiconductor Engineering

Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...
IEEE

A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multi-Objective Optimization

Abstract: Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming ...
C&EN

Multi-objective Bayesian Optimization for Experimental Design in Copolymerization and Revealing Chemical Mechanism of Pareto Fronts

Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan Graduate School of Science and Technology, Nara Institute of ...
Frontiers

Operational response to contamination in water distribution systems: a multi-objective Bayesian optimization approach

1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...
IEEE

A decision variables classification-based evolutionary algorithm for constrained multi-objective optimization problems

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...