A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and ...

Mathematical optimization offers today’s businesses a fundamentally different approach to worst-case scenario prepping. Rather than relying on gut instinct and static data, optimization leverages ...

Paché, G. (2026) Patrick Geddes on Sustainable City Life. Journal of Service Science and Management, 19, 13-28. doi: ...

Artificial intelligence speaks as if the destination were always known, tempting us to mistake arrival for understanding.

We believe sustainable health doesn’t come from extremes….When you know your numbers, you can make decisions that are realistic, measurable, and aligned with your physiology and goals.” — Dr. Hyung ...

This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

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: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have gained increasing attention for addressing expensive many-objective optimization problems (EMaOPs). Generally, the same type of ...

In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...