A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
Kanzhen WanCheng HeAuraham CamachoKe ShangRan ChengHisao IshibuchiPublished in: CEC (2019)
Keyphrases
- computationally expensive
- evolutionary algorithm
- multi objective
- evolutionary computation
- optimization problems
- multiple objectives
- differential evolution
- multi objective optimization
- computationally efficient
- fitness function
- nsga ii
- function optimization
- brute force
- genetic operators
- mutation operator
- genetic algorithm
- iterative methods
- optimization method
- genetic programming
- simulated annealing
- multi objective evolutionary algorithms
- batch mode
- hybrid evolutionary algorithm
- symbiotic evolutionary algorithm
- hybrid learning
- convergence speed
- mobile robot
- objective function
- information systems