Implementation of the IEEE TII paper Flexible Job Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics, 2022. @ARTICLE{9826438, author= ...
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The United States shed 105,000 jobs in October and added 64,000 jobs in November, the Bureau of Labor Statistics said Tuesday, lifting a monthslong fog that had shrouded the labor market. The ...
Your teen doesn’t need a full-time job to start making money; they just need the right gig and a little guidance. Remember the days of a simple lemonade stand? While sweet, the game has changed. Today ...
The best way to fix Americans’ cost-of-living problem is to give workers bigger raises, Federal Reserve Chair Jerome Powell said last week. The problem: That solution looks broken, too. The US job ...
The Miami Dolphins’ offensive identity has undergone a significant shift this season. The team is now one of the most productive running offenses in the sport, recording at least 160 yards on the ...
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In a K-shaped economy where the “have-nots” are increasingly falling behind the “haves,” the labor market is trending toward a similar fate. Job opportunities didn’t shrink as feared in October as ...
FIRST ON FOX: The White House is celebrating the reopening of a steel furnace in Illinois that will usher in hundreds of jobs — pointing to it as an example of the president's economic pledge to ...
Abstract: Job Shop Scheduling Problem (JSP) is common in modern factories, but traditional dispatching rules (DR) and heuristic algorithms (HA) struggle with the increasing complexity of manufacturing ...
Abstract: The Job Shop Scheduling Problem (JSSP) is a widely studied combinatorial optimization challenge with significant real-world applications, characterized by its NP-hard complexity. Priority ...