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Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper).

, , , and . SGAI Conf., volume 11927 of Lecture Notes in Computer Science, page 167-179. Springer, (2019)

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Predicting Fluid Work Demand in Service Organizations Using AI Techniques., , , , and . SGAI Conf., volume 11311 of Lecture Notes in Computer Science, page 266-276. Springer, (2018)Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper)., , , and . SGAI Conf., volume 11927 of Lecture Notes in Computer Science, page 167-179. Springer, (2019)Investigating RNNs for vehicle volume forecasting in service stations., , , , and . SSCI, page 2625-2632. IEEE, (2020)Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces., , , and . SGAI Conf., page 231-243. Springer, (2015)Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations., , , and . SGAI Conf., volume 13101 of Lecture Notes in Computer Science, page 224-238. Springer, (2021)Distributionally robust resource planning under binomial demand intakes., , , and . Eur. J. Oper. Res., 306 (1): 227-242 (2023)Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures., , , , , and . SGAI Conf., volume 14381 of Lecture Notes in Computer Science, page 275-290. Springer, (2023)Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model., , , and . CEC, page 1-8. IEEE, (2018)Predictive planning with neural networks., , , and . IJCNN, page 2110-2117. IEEE, (2016)Predicting Demand in IoT Enabled Service Stations., , , , and . CogSIMA, page 81-87. IEEE, (2019)