A diverse/converged individual competition algorithm for computationally expensive many-objective optimization.
Jie LinSheng Xin ZhangShao Yong ZhengPublished in: Appl. Intell. (2024)
Keyphrases
- computationally expensive
- high accuracy
- computationally efficient
- preprocessing
- experimental evaluation
- improved algorithm
- convergence rate
- computational complexity
- simulated annealing
- detection algorithm
- brute force
- benchmark problems
- clustering method
- expectation maximization
- significant improvement
- optimal solution
- learning algorithm
- tree structure
- classification algorithm
- search algorithm
- times faster
- convex hull
- image sequences
- data sets