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2020 – today
- 2022
[j7]Mehmet Özçalici, Ayse Tugba Dosdogru, Asli Boru Ipek, Mustafa Göçken:
Comparison of harmony search derivatives for artificial neural network parameter optimisation: stock price forecasting. Int. J. Data Min. Model. Manag. 14(4): 335-357 (2022)
2010 – 2019
- 2019
- [j6]Ayse Tugba Dosdogru
:
Improving Weather Forecasting Using De-Noising with Maximal Overlap Discrete Wavelet Transform and GA Based Neuro-Fuzzy Controller. Int. J. Artif. Intell. Tools 28(3): 1950012:1-1950012:15 (2019) - [j5]Mustafa Göçken, Mehmet Özçalici, Asli Boru, Ayse Tugba Dosdogru:
Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection. Neural Comput. Appl. 31(2): 577-592 (2019) - [j4]Asli Boru, Ayse Tugba Dosdogru, Mustafa Göçken, Rizvan Erol:
A Novel Hybrid Artificial Intelligence Based Methodology for the Inventory Routing Problem. Symmetry 11(5): 717 (2019) - 2017
- [j3]Mustafa Göçken, Ayse Tugba Dosdogru, Asli Boru, Faruk Geyik:
Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization. Simul. 93(5): 379-396 (2017) - 2016
- [j2]Mustafa Göçken, Mehmet Özçalici, Asli Boru, Ayse Tugba Dosdogru:
Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction. Expert Syst. Appl. 44: 320-331 (2016) - 2015
- [c1]Mustafa Göçken, Asli Boru, Ayse Tugba Dosdogru, Faruk Geyik:
(R, s, S) inventory control policy and supplier selection in a two-echelon supply chain: an optimization via simulation approach. WSC 2015: 2057-2067 - 2013
- [j1]Faruk Geyik, Ayse Tugba Dosdogru:
Process plan and part routing optimization in a dynamic flexible job shop scheduling environment: an optimization via simulation approach. Neural Comput. Appl. 23(6): 1631-1641 (2013)
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