An approximation algorithm for multi-objective optimization problems using a box-coverage.
Gabriele EichfelderLeo WarnowPublished in: J. Glob. Optim. (2022)
Keyphrases
- learning algorithm
- preprocessing
- computational cost
- data sets
- experimental evaluation
- computational complexity
- dynamic programming
- simulated annealing
- classification algorithm
- optimization algorithm
- objective function
- segmentation algorithm
- theoretical analysis
- computationally efficient
- worst case
- matching algorithm
- error bounds
- recognition algorithm
- decision trees
- polygonal approximation
- clustering method
- image registration
- scheduling problem
- probabilistic model
- significant improvement
- optimal solution