Using multiple objective tabu search and grammars to model and solve multi-objective flexible job shop scheduling problems. - Adil Baykasoglu; Lale Özbakir; Ali Ihsan Sönmez (J. Intell. Manuf., 2004)

Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications. - Lale Özbakir; Adil Baykasoglu; Sinem Kulluk (LION, 2007)

MEPAR-miner: Multi-expression programming for classification rule mining. - Adil Baykasoglu; Lale Özbakir (Eur. J. Oper. Res., 2007)

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

Prediction of compressive and tensile strength of limestone via genetic programming. - Adil Baykasoglu; Hamza Güllü; Hanifi Çanakçi; Lale Özbakir (Expert Syst. Appl., 2008)

Generating prediction rules for liquefaction through data mining. - Adil Baykasoglu; Abdulkadir Çevik; Lale Özbakir; Sinem Kulluk (Expert Syst. Appl., 2009)

TACO-miner: An ant colony based algorithm for rule extraction from trained neural networks. - Lale Özbakir; Adil Baykasoglu; Sinem Kulluk; Hüseyin Yapici (Expert Syst. Appl., 2009)

A grammatical optimization approach for integrated process planning and scheduling. - Adil Baykasoglu; Lale Özbakir (J. Intell. Manuf., 2009)

Classification rule discovery for the aviation incidents resulted in fatality. - Feyza Gürbüz; Lale Özbakir; Hüseyin Yapici (Knowl. Based Syst., 2009)

Bees algorithm for generalized assignment problem. - Lale Özbakir; Adil Baykasoglu; Pinar Tapkan (Appl. Math. Comput., 2010)

A soft computing-based approach for integrated training and rule extraction from artificial neural networks: DIFACONN-miner. - Lale Özbakir; Adil Baykasoglu; Sinem Kulluk (Appl. Soft Comput., 2010)

Balancing fuzzy multi-objective two-sided assembly lines via Bees Algorithm. - Lale Özbakir; Pinar Tapkan (J. Intell. Fuzzy Syst., 2010)

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

Multiple-colony ant algorithm for parallel assembly line balancing problem. - Lale Özbakir; Adil Baykasoglu; Beyza Görkemli; Latife Görkemli (Appl. Soft Comput., 2011)

Exploring comprehensible classification rules from trained neural networks integrated with a time-varying binary particle swarm optimizer. - Lale Özbakir; Yilmaz Delice (Eng. Appl. Artif. Intell., 2011)

Classifying defect factors in fabric production via DIFACONN-miner: A case study. - Adil Baykasoglu; Lale Özbakir; Sinem Kulluk (Expert Syst. Appl., 2011)

Data mining and preprocessing application on component reports of an airline company in Turkey. - Feyza Gürbüz; Lale Özbakir; Hüseyin Yapici (Expert Syst. Appl., 2011)

Bee colony intelligence in zone constrained two-sided assembly line balancing problem. - Lale Özbakir; Pinar Tapkan (Expert Syst. Appl., 2011)

Rule extraction from artificial neural networks to discover causes of quality defects in fabric production. - Lale Özbakir; Adil Baykasoglu; Sinem Kulluk (Neural Comput. Appl., 2011)

Self-adaptive global best harmony search algorithm for training neural networks. - Sinem Kulluk; Lale Özbakir; Adil Baykasoglu (WCIT, 2011)

Modeling and solving constrained two-sided assembly line balancing problem via bee algorithms. - Pinar Tapkan; Lale Özbakir; Adil Baykasoglu (Appl. Soft Comput., 2012)

Training neural networks with harmony search algorithms for classification problems. - Sinem Kulluk; Lale Özbakir; Adil Baykasoglu (Eng. Appl. Artif. Intell., 2012)

Multi-colony ant algorithm for parallel assembly line balancing with fuzzy parameters. - Adil Baykasoglu; Lale Özbakir; Latife Görkemli; Beyza Görkemli (J. Intell. Fuzzy Syst., 2012)

Bees Algorithm for constrained fuzzy multi-objective two-sided assembly line balancing problem. - Pinar Tapkan; Lale Özbakir; Adil Baykasoglu (Optim. Lett., 2012)

Fuzzy DIFACONN-miner: A novel approach for fuzzy rule extraction from neural networks. - Sinem Kulluk; Lale Özbakir; Adil Baykasoglu (Expert Syst. Appl., 2013)

Solving fuzzy multiple objective generalized assignment problems directly via bees algorithm and fuzzy ranking. - Pinar Tapkan; Lale Özbakir; Adil Baykasoglu (Expert Syst. Appl., 2013)

Bee algorithms for parallel two-sided assembly line balancing problem with walking times. - Pinar Tapkan; Lale Özbakir; Adil Baykasoglu (Appl. Soft Comput., 2016)

Cost-sensitive meta-learning classifiers: MEPAR-miner and DIFACONN-miner. - Sinem Kulluk; Lale Özbakir; Pinar Tapkan; Adil Baykasoglu (Knowl. Based Syst., 2016)

A cost-sensitive classification algorithm: BEE-Miner. - Pinar Tapkan; Lale Özbakir; Sinem Kulluk; Adil Baykasoglu (Knowl. Based Syst., 2016)

Clustering performance comparison of new generation meta-heuristic algorithms. - Lale Özbakir; Fatma Turna (Knowl. Based Syst., 2017)

Differentiating households to analyze consumption patterns: a data mining study on official household budget data. - Tugba Degirmenci; Lale Özbakir (WIREs Data Mining Knowl. Discov., 2018)

An Assembly Line Balancing Application on Oven Production Line with Hyper-Heuristics. - Gökhan Seçme; Lale Özbakir (Int. J. Oper. Res. Inf. Syst., 2019)

Supervised deep convolutional generative adversarial networks. - Abdurrahman Öcal; Lale Özbakir (Neurocomputing, 2021)

CNN-LSTM and clustering-based spatial-temporal demand forecasting for on-demand ride services. - Memet Merhad Ay; Sinem Kulluk; Lale Özbakir; Burak Gülmez; Güney Öztürk; Sertay Özer (Neural Comput. Appl., 2022)

A hyper-heuristic approach for stochastic parallel assembly line balancing problems with equipment costs. - Lale Özbakir; Gökhan Seçme (Oper. Res., 2022)

FC-Kmeans: Fixed-centered K-means algorithm. - Memet Merhad Ay; Lale Özbakir; Sinem Kulluk; Burak Gülmez; Güney Öztürk; Sertay Özer (Expert Syst. Appl., 2023)

A constraint programming based column generation approach for crew scheduling: A case study for the Kayseri railway. - Pinar Tapkan; Sinem Kulluk; Lale Özbakir; Fatih Bahar; Burak Gülmez (J. Oper. Res. Soc., 2023)