Abstract: Meta-heuristic algorithms search the problem solution space to obtain a satisfactory solution within a reasonable timeframe. By combining domain knowledge of the specific optimization ...
Abstract: The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy completion ...
“I work every other Sunday as a closer, which [ends] at 10:30 or really 11-ish, then [I am] scheduled at 6 a.m. the next morning.” “Managers, if you talk to them about the schedule, they’ll blame [any ...
For the people who run brand accounts on social media, the workday never really ends. We’re marketing researchers who study digital and social media wellness and teach the students who go on to fill ...
This repository is the official PyTorch implementation of the algorithms in the following paper: Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu. Learning to Dispatch for Job Shop ...
This repository includes the code of algorithms used in the following paper: Liu, R., Piplani, R., & Toro, C. (2022). Deep reinforcement learning for dynamic scheduling of a flexible job shop.
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With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons under the microscope.
Joe Vogel walked away from a tenured professorship to launch an outdoor lifestyle brand. Vogel has written acclaimed books ...