MOEA/D-HH: A Hyper-Heuristic for Multi-objective Problems.
Richard A. GonçalvesJosiel Neumann KukCarolina P. de AlmeidaSandra M. VenskePublished in: EMO (1) (2015)
Keyphrases
- multi objective problems
- hyper heuristics
- evolutionary algorithm
- multi objective
- pareto fronts
- nsga ii
- uniform design
- multi objective evolutionary algorithms
- differential evolution
- multi objective optimization
- genetic programming
- particle swarm optimization
- examination timetabling
- optimization problems
- metaheuristic
- evolutionary computation
- fitness function
- pareto optimal
- multiple objectives
- optimization algorithm
- crossover operator
- bi objective
- multiobjective optimization
- search procedure
- test problems
- difficult problems
- convergence speed
- genetic algorithm
- particle swarm optimisation
- pareto dominance
- constraint satisfaction problems
- simulated annealing
- particle swarm optimization algorithm
- evolution strategy
- tabu search
- timetabling problem
- heuristic search
- genetic algorithm ga
- particle swarm optimization pso
- optimal solution