Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration.
Anuj PalLing ZhuYan WangGuoming G. ZhuPublished in: ACC (2020)
Keyphrases
- multi objective
- optimization algorithm
- multiple objectives
- evolutionary optimization
- evolutionary algorithm
- stochastic optimization
- conflicting objectives
- optimum design
- multi objective optimization
- multiobjective optimization
- optimization method
- monte carlo sampling
- monte carlo methods
- particle swarm optimization
- efficient optimization
- iterative optimization
- particle swarm
- pareto optimal
- optimization problems
- genetic algorithm
- stochastic programming
- particle swarm optimization pso
- engineering design problems
- nonlinear optimization
- data driven
- multi objective evolutionary algorithms
- stochastic search
- nsga ii
- multi objective optimization problems
- global optimization
- gauss markov random fields
- bayesian networks
- estimation of distribution algorithms
- optimization process
- camera calibration
- maximum likelihood
- objective function
- bayesian learning
- constrained optimization
- optimization methods
- posterior probability
- bayesian framework
- multi objective evolutionary