Online Per-Instance Algorithm Selection for Constrained Multi-Objective Optimization Problems.
Hanan AlsoulyMichael KirleyMario Andrés MuñozPublished in: GECCO Companion (2024)
Keyphrases
- selection algorithm
- learning algorithm
- computational cost
- experimental evaluation
- improved algorithm
- computationally efficient
- computational complexity
- optimal solution
- times faster
- detection algorithm
- high accuracy
- theoretical analysis
- significant improvement
- objective function
- expectation maximization
- optimization algorithm
- matching algorithm
- particle swarm optimization
- clustering method
- online learning
- dynamic programming
- recognition algorithm
- cost function
- search space
- similarity measure
- solution quality
- multi objective optimization
- computational efficiency
- test problems
- data sets
- passive aggressive
- mathematical model
- tabu search
- segmentation algorithm
- genetic programming
- input data
- np hard
- multi objective
- evolutionary algorithm
- preprocessing
- data structure
- reinforcement learning