| Integrating metaheuristics and artificial neural networks for improved stock price prediction M Göçken, M Özçalıcı, A Boru, AT Dosdoğru Expert Systems with Applications 44, 320-331, 2016 | 391 | 2016 |
| New approaches to due date assignment in job shops A Baykasoğlu, M Göçken, ZD Unutmaz European Journal of Operational Research 187 (1), 31-45, 2008 | 94 | 2008 |
| Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection M Göçken, M Özçalıcı, A Boru, AT Dosdoğru Neural Computing and Applications 31, 577-592, 2019 | 62 | 2019 |
| Gene expression programming based due date assignment in a simulated job shop A Baykasoğlu, M Göçken Expert Systems with Applications 36 (10), 12143-12150, 2009 | 34 | 2009 |
| Capability-based distributed layout and its simulation based analyses A Baykasoğlu, M Göçken Journal of Intelligent Manufacturing 21, 471-485, 2010 | 26 | 2010 |
| Optimization via Simulation for Inventory Control Policies and Supplier Selection BA Göçken, M., Dosdoğru, A. T. International Journal of Simulation Modelling 16 (2), 241-252, 2017 | 23 | 2017 |
| Integration of genetic algorithm and Monte Carlo to analyze the effect of routing flexibility AT Dosdoğru, M Göçken, F Geyik The International Journal of Advanced Manufacturing Technology 81, 1379-1389, 2015 | 22 | 2015 |
| A simulation based approach to analyse the effects of job release on the performance of a multi-stage job-shop with processing flexibility A Baykasoğlu, M Göçken International Journal of Production Research 49 (2), 585-610, 2011 | 22 | 2011 |
| A novel hybrid artificial intelligence-based decision support framework to predict lead time AT Dosdoğru, A Boru İpek, M Göçken International Journal of Logistics Research and Applications 24 (3), 261-279, 2021 | 19 | 2021 |
| Genetic programming based data mining approach to dispatching rule selection in a simulated job shop A Baykasoğlu, M Göçken, L Özbakir Simulation 86 (12), 715-728, 2010 | 17 | 2010 |
| A novel hybrid artificial intelligence based methodology for the inventory routing problem A Boru, AT Dosdoğru, M Göçken, R Erol Symmetry 11 (5), 717, 2019 | 16 | 2019 |
| Integrating process plan and part routing using optimization via simulation approach T Gocken, AT Dosdogru, A Boru, M Gocken INTERNATIONAL JOURNAL OF SIMULATION MODELLING/DAAAM INTERNATIONAL VIENNA, 2019 | 15 | 2019 |
| Assessment of hybrid artificial neural networks and metaheuristics for stock market forecasting AT Dosdoğru, A Boru, M Göçken, M Özçalıcı, T Göçken Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 27 (1), 63-78, 2018 | 14 | 2018 |
| Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization M Göçken, AT Dosdoğru, A Boru, F Geyik Simulation 93 (5), 379-396, 2017 | 13 | 2017 |
| (R, s, S) inventory control policy and supplier selection in a two-echelon supply chain: An Optimization via Simulation approach M Göçken, A Boru, AT Dosdoğru, F Geyik 2015 Winter Simulation Conference (WSC), 2057-2067, 2015 | 12 | 2015 |
| Composite dispatching rule generation through data mining in a simulated job shop A Baykasoğlu, M Göçken, L Özbakır, S Kulluk Modelling, Computation and Optimization in Information Systems and …, 2008 | 12 | 2008 |
| Due date assignment using ADRES and simulated annealing A Baykasoglu, M Gocken, ZD Unutmaz International Journal of Industrial and Systems Engineering 3 (3), 277-297, 2008 | 8 | 2008 |
| Hybridizing extreme learning machine and bio-inspired computing approaches for improved stock market forecasting M Göçken, A Boru, AT Dosdoğru, M Özçalici 2017 International Artificial Intelligence and Data Processing Symposium …, 2017 | 7 | 2017 |
| Integrating metaheuristics and ANFIS for daily mean temperature forecasting M Göçken, A Boru International Journal of Global Warming 9 (1), 110-128, 2016 | 7 | 2016 |
| Integrating metaheuristics and artificial neural network for weather forecasting M Göçken, A Boru, AT Dosdoğru, M Özçalıcı International Journal of Global Warming 14 (4), 440-461, 2018 | 6 | 2018 |
