Blanka Láng
Assistant Professor
lecturer
Contact details
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Scientific classifications
- 1.2 Computer and information sciences
- Computer sciences
Main research areas
Solving multi-objective exercise generation problems with metaheuristic methods
My research focuses on the development of harmony search metaheuristic algorithms. Currently, I am researching the solution of multi-objective exercise generation problems using metaheuristic methods. My previous research topics include the optimal selection of explanatory variables in linear regression models using metaheuristics, and the maximization of present value in resource-constrained project scheduling.
Highlighted publications
- 2020 – Solving Exercise Generation Problems using the Improved EGAL Metaheuristic Algorithm with Precedence Constraints – mtmt.hu
- 2022 – Development of the Improved Exercise Generation Metaheuristic Algorithm EGAL+ for End Users – mtmt.hu
- 2016 – Solving exercise generation problems by diversity oriented meta-heuristics – mtmt.hu
- 2024 – Integration of AI and Metaheuristics in Educational Software – mtmt.hu