Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation.
Diego BotacheJens DeckeWinfried RipkenAbhinay DornipatiFranz Götz-HahnMohamed AyebBernhard SickPublished in: CoRR (2023)
Keyphrases
- multi objective optimization
- machine learning
- multi objective
- evolutionary algorithm
- multi objective optimization problems
- genetic algorithm
- multi objective genetic algorithm
- multiple objectives
- bi objective
- nsga ii
- pareto optimal
- differential evolution
- multi objective genetic algorithms
- simulation model
- complex optimization problems
- hybrid evolutionary algorithm
- evolutionary computation
- pareto optimal solutions
- genetic programming
- feature selection
- pareto dominance
- single objective optimization
- solving multi objective optimization problems