A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization.
Zhaomin ZhaiYanyan TanXiaojie LiJunqing LiHuaxiang ZhangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- evolutionary algorithm
- multi objective
- multiple objectives
- nsga ii
- evolutionary computation
- multi objective optimization
- optimization problems
- multi objective evolutionary algorithms
- genetic programming
- genetic algorithm
- fitness function
- simulated annealing
- genetic operators
- function optimization
- differential evolution
- data sets
- multiobjective optimization
- pareto optimal
- high cost
- quantum evolutionary algorithm
- error prone
- crossover operator
- computationally expensive
- real time
- computationally intensive
- mutation operator
- machine learning
- hybrid evolutionary algorithm
- database
- search space
- decision trees
- labor intensive
- information systems
- information retrieval
- evolutionary strategy
- fitness landscape