R-MBO: a multi-surrogate approach for preference incorporation in multi-objective bayesian optimisation.
Tinkle ChughPublished in: GECCO Companion (2022)
Keyphrases
- multi objective
- multi objective optimisation
- multi objective evolutionary
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- multi criteria
- multiobjective optimization
- multiple criteria
- evolutionary optimization
- bayesian networks
- particle swarm optimization
- nsga ii
- multiple objectives
- multi agent
- bayesian inference
- conflicting objectives
- objective function
- incorporation of prior knowledge
- maximum likelihood
- genetic programming
- pareto optimal
- bayesian learning
- soft constraints
- data driven
- bi objective
- bayesian estimation
- search algorithm
- optimum design