MOSA/D: Multi-operator evolutionary many-objective algorithm with self-adaptation of parameters based on decomposition.
Syed Zaffar QasimMuhammad Ali IsmailPublished in: Evol. Intell. (2023)
Keyphrases
- expectation maximization
- parameter estimation
- learning algorithm
- detection algorithm
- k means
- cost function
- np hard
- worst case
- fine tuning
- decomposition method
- dynamic programming
- computational complexity
- preprocessing
- search space
- computationally efficient
- optimization algorithm
- experimental evaluation
- parameter tuning
- tree structure
- times faster
- parameter settings
- image segmentation
- linear programming
- objective function
- parameter selection
- artificial immune system
- maximum likelihood estimation
- convergence rate
- clustering method
- simulated annealing
- theoretical analysis
- maximum likelihood
- input data