Unsupervised text feature selection using NSGA II with Hill Climbing local search.
Laura CorneiEugen CroitoruHenri LuchianPublished in: KES (2023)
Keyphrases
- hill climbing
- nsga ii
- multi objective
- feature selection
- simulated annealing
- evolutionary algorithm
- test problems
- multi objective optimization
- search space
- tabu search
- genetic algorithm ga
- systematic search
- constrained multi objective optimization problems
- fitness function
- pareto optimal
- multiobjective optimization
- multi objective differential evolution
- optimization algorithm
- search algorithm
- optimization problems
- search procedure
- evolutionary multiobjective
- evolutionary multiobjective optimization
- multiobjective evolutionary algorithm
- genetic algorithm
- optimal solution
- multi objective evolutionary algorithms
- differential evolution
- multi objective optimisation
- multi objective optimization problems
- metaheuristic
- machine learning
- hybrid algorithms
- search strategy
- mutation operator
- evolutionary computation
- pareto optimal solutions
- uniform design
- steepest ascent
- knapsack problem
- bi objective
- harmony search
- crossover operator
- text classification
- genetic operators
- special case
- multiple objectives
- job shop scheduling problem