A parallel constrained lower confidence bounding approach for computationally expensive constrained optimization problems.
Ji ChengPing JiangQi ZhouJiexiang HuLeshi ShuPublished in: Appl. Soft Comput. (2021)
Keyphrases
- computationally expensive
- constrained optimization problems
- constrained optimization
- constraint handling
- differential evolution
- evolutionary algorithm
- optimization problems
- augmented lagrangian
- penalty function
- computationally efficient
- global convergence
- fitness function
- equality constraints
- brute force
- crossover operator
- parallel processing
- upper bound
- special case
- genetic algorithm
- search space
- shared memory
- convergence speed
- multi objective optimization
- multi objective
- objective function