A surrogate-assisted bi-swarm evolutionary algorithm for expensive optimization.
Nengxian LiuJeng-Shyang PanShu-Chuan ChuTaotao LaiPublished in: Appl. Intell. (2023)
Keyphrases
- evolutionary algorithm
- optimization problems
- particle swarm
- function optimization
- evolution strategy
- multi objective
- optimization method
- evolutionary computation
- evolutionary process
- differential evolution
- evolutionary strategy
- multimodal functions
- optimization algorithm
- evolutionary search
- multi objective optimization
- swarm intelligence
- particle swarm optimization
- hybrid evolutionary algorithm
- fitness function
- business intelligence
- genetic algorithm
- genetic operators
- metaheuristic
- optimization methods
- genetic programming
- mutation operator
- high cost
- global optimization
- estimation of distribution algorithms
- simulated annealing
- crossover operator
- computationally intensive
- data sets
- particle swarm optimization pso
- traveling salesman problem
- collective behavior
- discrete optimization
- computationally expensive
- data mining