Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

HandyDART serves thousands of Metro Vancouver residents who are unable to independently use the conventional transit system.

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...

Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...

Aiming at the dynamic similarity design of an aero-engine rotor system, this study proposes a parameterized dynamic similarity design method based on a genetic algorithm, specifically addressing the ...

Current AI models struggle to solve research-level math problems, with the most advanced AI systems we have today solving just 2% of the hundreds of challenges faced. When you purchase through links ...

School of Automation Science and Engineering, South China University of Technology, Guangzhou, China In order to track complex-path tasks in three dimensional space without joint-drifts, a ...