At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Jash Rana (MIE MASc 2T6) applies his knowledge of computational and mathematical simulations to accelerate the adoption of ...

Researchers from Renmin University of China and Microsoft Research have introduced Arbor, a framework designed to help AI ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex logistics and operational challenges effi ...

Multi‐objective optimisation has emerged as a cornerstone in engineering design, addressing problems that involve simultaneous minimisation or maximisation of two or more conflicting objectives. At ...

Abstract: Multi-objective optimization is crucial in scientific and industrial applications where solutions must balance trade-offs among conflicting objectives. State-of-the-art methods, such as NSGA ...

Abstract: To investigate the mapping relationship between sensory evaluation and flavor components of Baijiu, and to enable the prediction of sensory scores based on flavor composition for driving ...

Skill-based reinforcement learning has become the mainstream approach to solve sparse-rewards decision making tasks. 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 ...

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 ...

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 ...