Solving the university timetabling problem with optimized enrollment of students by a self-adaptive genetic algorithm
R Perzina - International Conference on the Practice and Theory of …, 2006 - Springer
The timetabling problem is well known to be an NP-complete combinatorial problem. The
problem becomes even more complex when addressed to individual timetables of students …
problem becomes even more complex when addressed to individual timetables of students …
Solving multicriteria university timetabling problem by a self-adaptive genetic algorithm with minimal perturbation
R Perzina - 2007 IEEE International Conference on Information …, 2007 - ieeexplore.ieee.org
The most of methods for solving the university timetabling problem deal with the problem
statically, which makes great difficulties when requirements are changed, because a new …
statically, which makes great difficulties when requirements are changed, because a new …
Self-learning genetic algorithm for neural network topology optimization
R Perzina - Agent and Multi-Agent Systems: Technologies and …, 2015 - Springer
The aim of this paper is presentation of encoding for self-adaptation of genetic algorithms
which is suitable for neural network topology optimization. Comparing to previous …
which is suitable for neural network topology optimization. Comparing to previous …
[PDF][PDF] Evolutionary Scheduling Techniques Applied to University Timetable Using the Java-Xml Technology
I IORGA - Citeseer
Evolutionary Scheduling Techniques Applied to University Timetable Using the Java - Xml
Technology Page 1 Evolutionary Scheduling Techniques Applied to University Timetable …
Technology Page 1 Evolutionary Scheduling Techniques Applied to University Timetable …