Abstract: Quality and efficiency objectives in surface mount technology (SMT) production are inherently conflicting, posing a significant challenge for collaborative optimization. Dynamic factors, ...

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...

USC is celebrating America's 250th anniversary with animated digital stamps honoring unsung heroes of computing. These stamps ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

A Python high-frequency intraday trading engine for simulating the rolling intrinsic strategy on the European market, solved as a dynamic program. See our paper (tbd, Schaurecker & Wozabal et al.

Kotlin: Modern JVM language simplifying Android development while offering concise syntax, interoperability with Java, improved productivity, and robust application performance for startups. Swift: ...

Since its inception, pinch analysis has become a widely adopted methodology for thermal energy integration and process optimization within industrial systems. Over the years, this research field has ...

Hydrogels—soft, water-rich polymer networks—have evolved far beyond their early biomedical uses. By integrating dynamic ...

Smart Home Assistant integration for heat pump optimization based on electricity price and temperature. Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling ...

Planning for promotions is far harder than planning for routine demand and replenishment. The solution lies in a hybrid ...