MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework.
Aymeric BlotHolger H. HoosLaetitia JourdanMarie-Éléonore Kessaci-MarmionHeike TrautmannPublished in: LION (2016)
Keyphrases
- multi objective
- optimization algorithm
- learning algorithm
- times faster
- multi objective optimization problems
- theoretical analysis
- dynamic programming
- search space
- significant improvement
- preprocessing
- differential evolution
- k means
- experimental evaluation
- bayesian framework
- objective function
- optimal solution
- evolutionary algorithm
- computational complexity
- multi objective optimization
- detection algorithm
- particle swarm optimization
- simulated annealing
- high accuracy
- probabilistic model
- computationally efficient
- linear programming
- tree structure
- path planning
- benchmark problems
- solution quality
- computational cost
- improved algorithm
- multi objective evolutionary algorithms
- neural network