Ömür Tosun

Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming

Peridynamic-driven feature-enhanced Vision Transformer for predicting defects and heterogeneous materials locations: Applications of deep learning in inverse problems

An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors – A case study

The Use of Arti fi cial Neural Networks (ANN) in Forecasting Housing Prices in Ankara, Turkey