All Outputs (5)

Heuristic and swarm intelligence algorithms for work-life balance problem (2023)
Journal Article
Gulmez, E., Koruca, H. I., Aydin, M. E., & Urganci, K. B. (2024). Heuristic and swarm intelligence algorithms for work-life balance problem. Computers and Industrial Engineering, 187, Article 109857. https://doi.org/10.1016/j.cie.2023.109857

Employee satisfaction significantly influences the success of business. This emphasises on the importance of employees managing their work, family and personal lives to maintain their physical and mental well-being. This is especially crucial in heal... Read More about Heuristic and swarm intelligence algorithms for work-life balance problem.

Feature-based search space characterisation for data-driven adaptive operator selection (2023)
Journal Article
Aydin, M. E., Durgut, R., Rakib, A., & Ihshaish, H. (2024). Feature-based search space characterisation for data-driven adaptive operator selection. Evolving Systems, 15(1), 99-114. https://doi.org/10.1007/s12530-023-09560-7

Combinatorial optimisation problems are known as unpredictable and challenging due to their nature and complexity. One way to reduce the unpredictability of such problems is to identify features and the characteristics that can be utilised to guide t... Read More about Feature-based search space characterisation for data-driven adaptive operator selection.

The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling (2023)
Conference Proceeding
Gülmez, E., Urgancı, K. B., Koruca, H. İ., & Aydin, M. E. (2023). The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling. In Advances in Intelligent Manufacturing and Service System Informatics (600-611). https://doi.org/10.1007/978-981-99-6062-0_55

Work-life balance is an approach that aims to enable employees to balance their work, family, and private lives. It is seen that the factors in the work-life balance are not relevant to work and family, considering the activities that one wishes for... Read More about The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling.

Enhancing software fault prediction with deep neural networks: An empirical analysis of error-type metrics (2023)
Conference Proceeding
Phung, K., Ogunshile, E., & Aydin, M. E. (in press). Enhancing software fault prediction with deep neural networks: An empirical analysis of error-type metrics.

In the context of software quality assurance, Software Fault Prediction (SFP) serves as a critical technique to optimise costs and efforts by classifying software modules as faulty or not, using pertinent project characteristics. Despite considerable... Read More about Enhancing software fault prediction with deep neural networks: An empirical analysis of error-type metrics.

Adoption of business model canvas in exploring digital business transformation (2023)
Journal Article
Sabri, M. O., Al-Qawasmi, K., Odeh, M., & Aydin, M. E. (2023). Adoption of business model canvas in exploring digital business transformation. Information Sciences Letters, 12(2), 845-854. https://doi.org/10.18576/isl/120225

Digital Business Transformation (DBT) values and contributions are still unrecognized by many organizations. Managers face problems in initiating their digital transformation due to the challenges and complexities in the realization of these processe... Read More about Adoption of business model canvas in exploring digital business transformation.