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pro vyhledávání: '"da Costa, Paulo R. de O."'
Recent works using deep learning to solve the Traveling Salesman Problem (TSP) have focused on learning construction heuristics. Such approaches find TSP solutions of good quality but require additional procedures such as beam search and sampling to
Externí odkaz:
http://arxiv.org/abs/2004.01608
In many situations, simulation models are developed to handle complex real-world business optimisation problems. For example, a discrete-event simulation model is used to simulate the trailer management process in a big Fast-Moving Consumer Goods com
Externí odkaz:
http://arxiv.org/abs/1907.07568
In Prognostics and Health Management (PHM) sufficient prior observed degradation data is usually critical for Remaining Useful Lifetime (RUL) prediction. Most previous data-driven prediction methods assume that training (source) and testing (target)
Externí odkaz:
http://arxiv.org/abs/1907.07480
Parking, matching, scheduling, and routing are common problems in train maintenance. In particular, train units are commonly maintained and cleaned at dedicated shunting yards. The planning problem that results from such situations is referred to as
Externí odkaz:
http://arxiv.org/abs/1907.04711