Redesigning a NSGA-II metaheuristic for the bi-objective Support Vector Machine with feature selection.
Javier AlcarazPublished in: Comput. Oper. Res. (2024)
Keyphrases
- bi objective
- nsga ii
- metaheuristic
- feature selection
- support vector machine
- optimization problems
- scatter search
- multi objective
- optimal solution
- ant colony optimization
- test problems
- evolutionary algorithm
- multi objective optimization
- tabu search
- genetic algorithm
- multiobjective optimization
- pareto optimal
- path relinking
- support vector
- simulated annealing
- pareto optimal solutions
- multi objective evolutionary algorithms
- combinatorial optimization problems
- optimization algorithm
- particle swarm optimization
- combinatorial optimization
- search space
- benchmark problems
- branch and bound algorithm
- knapsack problem
- crossover operator
- machine learning
- objective function
- fitness function
- solution space
- vehicle routing problem
- differential evolution
- cost function
- multiple objectives
- knn
- efficient solutions
- multi objective problems
- neural network
- pareto frontier
- swarm intelligence
- lower bound
- benchmark instances
- traveling salesman problem
- evolutionary computation
- genetic programming
- harmony search
- variable neighborhood search
- np hard
- genetic operators
- solution quality
- particle swarm optimization pso