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 ...

Abstract: Dynamic flexible job shop scheduling (JSS) is a prominent combinatorial optimization problem with many real-world applications. Genetic programming (GP) has been widely used to automatically ...

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 ...

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

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.

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 ...

Omnicom Media, an Omnicom (NYSE: OMC) connected capability, and NBCUniversal have co-developed a new solution to bring greater contextual intelligence and creative relevance to CTV advertising. The ...

You will be redirected to our submission process. Since its inception, pinch analysis has become a widely adopted methodology for thermal energy integration and process optimization within industrial ...

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