Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D.
Tiwonge Msulira BandaAlexandru-Ciprian ZavoianuAndrei PetrovskiDaniel WöckingerGerd BramerdorferPublished in: SYNASC (2023)
Keyphrases
- linear regression
- nsga ii
- multi objective
- multiobjective evolutionary algorithm
- multi objective optimization
- evolutionary algorithm
- test problems
- multiobjective optimization
- multi objective evolutionary algorithms
- uniform design
- least squares
- optimization problems
- pareto optimal
- optimization algorithm
- optimal solution
- pareto dominance
- evolutionary multiobjective optimization
- multi objective differential evolution
- regression methods
- evolutionary multiobjective
- genetic algorithm
- differential evolution
- pareto optimal solutions
- knapsack problem
- bi objective
- multi objective optimization problems
- fitness function
- pareto fronts
- particle swarm optimization
- benchmark problems
- multiple objectives
- nonlinear regression
- crossover operator
- multi objective problems
- evolutionary computation
- neural network
- constrained multi objective optimization problems