Subspace segmentation based co-evolutionary algorithm for balancing convergence and diversity in many-objective optimization.
Genggeng LiuZhenyu PeiNengxian LiuYe TianPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- evolutionary algorithm
- multi objective evolutionary algorithms
- population diversity
- multi objective
- multi objective optimization
- evolutionary computation
- nsga ii
- differential evolution
- convergence speed
- fitness function
- pareto dominance
- segmentation algorithm
- optimization problems
- image segmentation
- genetic operators
- segmentation method
- segmentation accuracy
- level set
- simulated annealing
- evolutionary process
- evolutionary strategy
- multiscale
- genetic programming
- mutation operator
- medical images
- dimensionality reduction
- affinity matrix
- image analysis
- object segmentation
- subspace clustering
- edge detection
- image sequences
- crossover operator
- multiple objectives
- shape prior
- function optimization
- low dimensional
- low rank representation
- bi objective
- genetic algorithm
- premature convergence
- pareto optimal
- motion segmentation
- convergence rate
- fully automatic
- medical imaging
- particle swarm optimization
- principal component analysis
- image processing