A New Multidisciplinary Design Optimization Method Accounting for Discrete and Continuous Variables under Aleatory and Epistemic Uncertainties.
Hong-Zhong HuangXudong ZhangDebiao MengYu LiuYanfeng LiPublished in: Int. J. Comput. Intell. Syst. (2012)
Keyphrases
- optimization method
- continuous variables
- multidisciplinary design
- discrete variables
- optimization algorithm
- dynamic systems
- genetic algorithm
- bayesian networks
- optimization methods
- particle swarm
- mixed integer
- differential evolution
- evolutionary algorithm
- simulated annealing
- random variables
- metaheuristic
- structure learning
- binary variables
- computationally expensive
- convex hull
- nelder mead simplex
- hidden variables
- genetic programming
- particle swarm optimization
- joint distribution
- state space
- probability density function
- neural network
- multi agent systems
- image segmentation
- tabu search