A Hyper-Heuristic in MOEA/D-DRA Using the Upper Confidence Bound Technique.
Lucas PrestesMyriam Regattieri de Biase da Silva DelgadoRichard Aderbal GonçalvesCarolina Paula de AlmeidaAurora Trinidad Ramirez PozoPublished in: BRACIS (2017)
Keyphrases
- hyper heuristics
- upper confidence bound
- evolutionary algorithm
- multi objective
- contextual bandit
- differential evolution
- genetic programming
- nsga ii
- examination timetabling
- multi objective optimization
- graph coloring
- multi objective evolutionary algorithms
- optimization problems
- timetabling problem
- evolutionary computation
- metaheuristic
- optimization algorithm
- constraint satisfaction problems
- difficult problems
- genetic algorithm
- simulated annealing
- particle swarm optimization
- multiple objectives
- search procedure
- fitness function
- crossover operator
- multiobjective optimization
- test instances
- heuristic search
- heuristic methods
- search heuristics
- test problems
- knapsack problem
- recommender systems
- search space