Solving the University Timetabling Problem with Optimized Enrollment of Students by a Self-adaptive Genetic Algorithm.
Radomír PerzinaPublished in: PATAT (2006)
Keyphrases
- timetabling problem
- genetic algorithm
- memetic algorithm
- university level
- examination timetabling
- engineering students
- educational environment
- e learning
- open university
- applied sciences
- hyper heuristics
- student learning
- state university
- job shop scheduling problem
- teaching methods
- distance learning
- tabu search
- graduate school
- engineering education
- learning experience
- computer science courses
- learning outcomes
- students studying
- multi objective
- high school
- collaborative learning
- hong kong
- learning environment
- crossover operator
- electrical engineering
- higher education
- faculty members
- web based courses
- student groups
- evolutionary algorithm
- neural network
- simulated annealing
- semester long
- multi objective optimization
- evolutionary computation
- fitness function
- learning styles
- learning process
- computer science education
- genetic programming
- artificial neural networks
- graduate students
- constraint satisfaction problems
- fuzzy logic
- scheduling problem
- machine learning