A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization.
Jinglu LiPeng WangHuachao DongJiangtao ShenPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- evolutionary algorithm
- multi objective
- multiple objectives
- evolutionary computation
- optimization problems
- nsga ii
- multi objective optimization
- differential evolution
- fitness function
- genetic programming
- mutation operator
- function optimization
- high cost
- multi objective evolutionary algorithms
- multiobjective optimization
- simulated annealing
- genetic algorithm
- hybrid evolutionary algorithm
- real time
- neural network
- hybrid algorithm
- data mining
- computationally intensive
- pareto optimal
- computationally expensive
- optimization algorithm
- information systems