Composite Dispatching Rule Generation through Data Mining in a Simulated Job Shop. - Adil Baykasoglu; Mustafa Göçken; Lale Özbakir; Sinem Kulluk (MCO, 2008)

New approaches to due date assignment in job shops. - Adil Baykasoglu; Mustafa Göçken; Zeynep Didem Unutmaz Durmusoglu (Eur. J. Oper. Res., 2008)

Gene expression programming based due date assignment in a simulated job shop. - Adil Baykasoglu; Mustafa Göçken (Expert Syst. Appl., 2009)

Capability-based distributed layout and its simulation based analyses. - Adil Baykasoglu; Mustafa Göçken (J. Intell. Manuf., 2010)

Genetic Programming Based Data Mining Approach to Dispatching Rule Selection in a Simulated Job Shop. - Adil Baykasoglu; Mustafa Göçken; Lale Özbakir (Simul., 2010)

(R, s, S) inventory control policy and supplier selection in a two-echelon supply chain: an optimization via simulation approach. - Mustafa Göçken; Asli Boru; Ayse Tugba Dosdogru; Faruk Geyik (WSC, 2015)

Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction. - Mustafa Göçken; Mehmet Özçalici; Asli Boru; Ayse Tugba Dosdogru (Expert Syst. Appl., 2016)

Characterizing continuous (s, S) policy with supplier selection using Simulation Optimization. - Mustafa Göçken; Ayse Tugba Dosdogru; Asli Boru; Faruk Geyik (Simul., 2017)

Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection. - Mustafa Göçken; Mehmet Özçalici; Asli Boru; Ayse Tugba Dosdogru (Neural Comput. Appl., 2019)

A Novel Hybrid Artificial Intelligence Based Methodology for the Inventory Routing Problem. - Asli Boru; Ayse Tugba Dosdogru; Mustafa Göçken; Rizvan Erol (Symmetry, 2019)

Comparison of harmony search derivatives for artificial neural network parameter optimisation: stock price forecasting. - Mehmet Özçalici; Ayse Tugba Dosdogru; Asli Boru Ipek; Mustafa Göçken (Int. J. Data Min. Model. Manag., 2022)