Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems.
Florian SiegmundAmos H. C. NgKalyanmoy DebPublished in: EvoApplications (2) (2016)
Keyphrases
- optimization problems
- evolutionary multi objective optimization
- data structure
- np hard problems
- approximate solutions
- difficult problems
- noisy data
- orders of magnitude
- computational complexity
- computational cost
- learning algorithm
- hard problems
- exact algorithms
- problems in computer vision
- noise level
- benchmark problems
- worst case
- search methods
- related problems
- denoising
- random noise
- specific problems
- greedy algorithms
- data mining algorithms
- missing data
- computationally efficient