Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods.
Rui WangQingfu ZhangTao ZhangPublished in: IEEE Trans. Evol. Comput. (2016)
Keyphrases
- benchmark datasets
- computationally expensive
- methods outperform
- multi objective
- adaptive algorithms
- significant improvement
- computational cost
- optimization methods
- machine learning methods
- learning algorithm
- synthetic and real data sets
- genetic algorithm
- empirical studies
- data structure
- search methods
- computationally demanding
- preprocessing
- computationally intensive
- hybrid method
- decomposition methods
- computer vision algorithms
- problems in computer vision
- theoretical guarantees
- computationally complex
- linear algebra
- alternative methods
- heuristic methods
- feature selection algorithms
- learning models
- theoretical analysis