Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
How many Autonomous Mobile Robots (AMRs) does a semiconductor fab need to hit its production target — and how should they be scheduled? This project frames the fab's material-handling bottleneck as an ...
Long before anyone had built a machine capable of holding a real conversation, Alan Turing was already asking what would ...
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...
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Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Abstract: A flexible job-shop scheduling problem with lot streaming (FJSP-LS) is an extension of flexible job-shop scheduling problems (FJSPs). In it, jobs are allowed to be split into multiple ...
Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...
Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...
The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...
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