Using a genetic algorithm optimizer tool to solve University timetable scheduling problem.
Sehraneh GhaemiMohammad Taghi VakiliAli AghagolzadehPublished in: ISSPA (2007)
Keyphrases
- scheduling problem
- genetic algorithm
- tabu search
- single machine
- flowshop
- setup times
- randomly generated test problems
- simulated annealing
- case study
- feasible solution
- genetic algorithm ga
- fitness function
- neural network
- job shop scheduling problem
- optimization algorithm
- artificial neural networks
- lower bound
- fuzzy logic
- upper bound
- computational complexity
- processing times
- special case
- e learning
- strongly np hard
- evolutionary algorithm