A MOPSO based on hyper-heuristic to optimize many-objective problems.
Olacir R. Castro Jr.Aurora T. R. PozoPublished in: SIS (2014)
Keyphrases
- multi objective
- examination timetabling
- multiple objectives
- evolutionary algorithm
- benchmark problems
- hyper heuristics
- particle swarm optimization
- particle swarm optimizer
- optimization problems
- cutting stock problems
- highly competitive
- difficult problems
- heuristic search
- timetabling problem
- learning algorithm
- genetic algorithm
- genetic programming
- simulated annealing
- state space
- search algorithm
- pareto optimal solutions
- objective function
- pareto optimal set