A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization.
Ryoji TanabeYouhei AkimotoKen KobayashiHiroshi UmekiShinichi ShirakawaNaoki HamadaPublished in: GECCO (2022)
Keyphrases
- computationally expensive
- multi objective optimization
- multi objective
- evolutionary algorithm
- interpolation method
- computationally efficient
- differential evolution
- multi objective optimization problems
- genetic algorithm
- computer vision
- high quality
- optimization problems
- optimization scheme
- multi objective evolutionary algorithms
- iterative methods