A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms.
Hao WangAngel E. Rodriguez-FernandezLourdes UribeAndré H. DeutzOziel Cortés-PiñaOliver SchützePublished in: CoRR (2024)
Keyphrases
- multi objective evolutionary algorithms
- newton method
- multi objective
- nsga ii
- multi objective optimization
- multiobjective optimization
- pareto optimal solutions
- convergence analysis
- evolutionary algorithm
- regularized least squares
- optimization algorithm
- variational inequalities
- linear equations
- optimality conditions
- test problems
- genetic algorithm
- optimization problems
- pareto optimal
- multiple objectives
- linear svm
- approximation methods
- quadratic programming
- bi objective
- particle swarm optimization
- objective function
- multi objective problems
- global convergence
- knapsack problem
- differential evolution
- fitness function
- nonnegative matrix factorization
- optimal solution
- particle swarm
- min max
- convergence rate
- artificial neural networks
- computational complexity
- feature selection