As chip manufacturing scales up, water supply and wastewater treatment systems are under immense pressure. Cutting-edge ...

According to Quick Attach, equipment decisions are increasingly based on whether a single machine can perform multiple ...

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

EcoVue™ tackles cost, power efficiency and manufacturability—advancing MicroLED smartwatch displays toward high-volume commercialization. By solving yield, cost, and power efficiency simultaneously, ...

Our goal with CosmeticAI™ was to make cosmetic ingredient development predictable rather than exploratory” — Dr. Lurong Pan, CEO of Ainnocence SAN FRANSICO, CA, UNITED STATES, January 1, 2026 ...

Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

Tsukuba, Japan—Distributed constraint optimization problems are crucial for modeling cooperative-multiagent systems. Asynchronous Distributed OPTimization (ADOPT) is a well-known algorithm for solving ...