A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

The Tardy/Lost (TL) penalties scheduling is a discrete optimization problem. TL scheduling problem is an NP-hard problem. As a result, proposing an optimization algorithm to handle this problem is ...

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Reprint: R0711C Many executives are surprised when previously successful leadership approaches fail in new situations, but different contexts call for different kinds of responses. Before ...

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Breakthroughs in artificial intelligence are continuously reshaping the way we tackle complex challenges, and a newly ...

This work tackles an integrated order batching, picker assignment, batch sequencing, and picker routing problem in warehouse environments. A Learning-Aided Iterated Local Search (LILS) is proposed to ...