Abstract: The Knapsack Problem (KP) is a renowned combinatorial optimization challenge, recognized for its NP-hard complexity. This characteristic renders large-scale KP instances resistant to ...

The Department of the Air Force’s process for determining if airmen and Space Force guardians should receive medical waivers for shaving is about as indecipherable as the infamous flow chart about ...

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In healthcare, time series data is extensively used to track patient metrics like vital signs, lab results, and treatment responses over time. This data is critical in monitoring disease progression, ...

I hope this message finds you well. After reviewing the README, I noticed that the Knapsack Problem has not yet been implemented in C++. I would like to take on this task and contribute the ...

Rasmus Kyng and his team developed an ultra-fast network flow algorithm that can compute the optimal traffic flow in real-time, regardless of network size or complexity. This breakthrough, combining ...

The secret to improving process performance is getting the right mass flows and component concentrations in process streams as seen in your process flow diagrams (PFD). Unfortunately, the most common ...

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...

Abstract: The multiple-choice knapsack problem (MCKP) is a classic NP-hard combinatorial optimization problem. Motivated by several significant real-world applications, this work investigates a novel ...