A new particle swarm optimization algorithm for noisy optimization problems S Taghiyeh, J Xu Swarm Intelligence 10, 161-192, 2016 | 41 | 2016 |
A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management S Taghiyeh, DC Lengacher, AH Sadeghi, A Sahebi-Fakhrabad, ... Supply Chain Analytics 3, 100032, 2023 | 20* | 2023 |
Forecasting model selection using intermediate classification: Application to MonarchFx corporation S Taghiyeh, DC Lengacher, RB Handfield Expert Systems with Applications 151, 113371, 2020 | 18 | 2020 |
Loss rate forecasting framework based on macroeconomic changes: Application to US credit card industry S Taghiyeh, DC Lengacher, RB Handfield Expert Systems with Applications 165, 113954, 2021 | 12 | 2021 |
Parallel empirical stochastic branch and bound for large-scale discrete optimization via simulation S Rosen, P Salemi, B Wickham, A Williams, C Harvey, E Catlett, ... 2016 winter simulation conference (WSC), 626-637, 2016 | 12 | 2016 |
Fuzzy reliability‐redundancy allocation problem of the overspeed protection system S Taghiyeh, M Mahmoudi, S Fadaie, H Tohidi Engineering Reports 2 (8), e12221, 2020 | 6 | 2020 |
Developing hybrid machine learning models to assign health score to railcar fleets for optimal decision making M Ejlali, E Arian, S Taghiyeh, K Chambers, AH Sadeghi, E Taghiye, ... Expert Systems with Applications 250, 123931, 2024 | 2 | 2024 |
Optimization of testing protocols to screen for COVID-19: a multi-objective model H Moheb-Alizadeh, DP Warsing Jr, RE Kouri, S Taghiyeh, RB Handfield Health Care Management Science, 1-24, 2024 | | 2024 |
Time Series Forecasting Using Machine Learning: Development and Extensions S Taghiyeh North Carolina State University, 2020 | | 2020 |
Supply Chain Analytics S Taghiyeh, DC Lengacher, AH Sadeghi, A Sahebi-Fakhrabad, ... | | |