Multi-Objective Yield Optimization for Electrical Machines using Machine Learning.
Morten HuberMona FuhrländerSebastian SchöpsPublished in: CoRR (2022)
Keyphrases
- multi objective
- optimization algorithm
- machine learning
- multiple objectives
- evolutionary optimization
- evolutionary algorithm
- conflicting objectives
- optimum design
- multiobjective optimization
- multi objective optimization
- engineering design problems
- optimization problems
- particle swarm optimization
- optimization method
- genetic algorithm
- pareto optimal
- particle swarm
- nsga ii
- decision trees
- objective function
- feature selection
- learning machines
- multi objective evolutionary algorithms
- active learning
- computer science
- knowledge acquisition
- optimization process
- artificial intelligence
- multi objective optimization problems
- learning algorithm
- support vector machine
- constrained optimization
- reinforcement learning
- particle swarm optimization pso
- pattern recognition
- estimation of distribution algorithms
- genetic programming
- optimization approaches
- supervised learning
- machine intelligence
- power transmission
- optimization methods
- evolutionary computation
- machine learning methods
- learning systems
- machine learning algorithms
- data mining
- text classification
- decision makers
- data analysis
- simulated annealing
- computational intelligence
- text mining
- natural language processing
- trade off