A multi-objective optimization algorithm inspired by chaos game dynamics outperformed four standard metaheuristic techniques ...

A surrogate-assisted artificial neural network coupled with multi-objective genetic algorithms successfully optimizes sheet ...

Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit organizations. She has conducted in-depth research on social and economic issues ...

多目标优化问题的算法及其求解 多目标优化问题的算法及其求解 一、多目标优化问题 多目标优化是在现实各个领域中都普遍存在的问题，每个目标不可能都同时达到最优，必须各有权重。

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

AI has transformed the digital age and people's lives. It exists in search engines, social media, and workspaces. People use it to generate images, work, and solve problems. However, the market is ...

Basic Luenberger observer implementation for both continuous-time and discrete-time LTI systems. Demonstrates observer gain design via pole placement and the ...

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 ...

ABSTRACT: This study uses TCAD numerical simulation to evaluate how key absorber parameters in Cu(In, Ga)Se2 (CIGS) thin-film solar cells influence device performance, with the objective of ...

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 ...