A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems.
Bo LiuSlawomir KozielQingfu ZhangPublished in: J. Comput. Sci. (2016)
Keyphrases
- computationally expensive
- evolutionary algorithm
- optimization problems
- cost function
- computational model
- formal model
- management system
- statistical model
- theoretical analysis
- optimization method
- evolutionary computation
- experimental data
- mathematical model
- probability distribution
- multi objective
- parameter estimation
- learning algorithm
- genetic programming
- objective function
- high level