Gait feature selection in walker-assisted gait using NSGA-II and SVM hybrid algorithm.
Maria M. MartinsCristina P. SantosLino A. CostaAnselmo FrizeraPublished in: EUSIPCO (2014)
Keyphrases
- hybrid algorithm
- feature selection
- nsga ii
- differential evolution
- multi objective
- particle swarm optimization
- optimal solution
- support vector
- evolutionary algorithm
- limit cycle
- simulated annealing
- multi objective optimization
- particle swarm optimization pso
- test functions
- support vector machine
- tabu search
- genetic algorithm
- pareto optimal
- optimization algorithm
- standard test problems
- test problems
- multi objective evolutionary algorithms
- pso algorithm
- evolutionary multiobjective
- multiobjective optimization
- evolutionary multiobjective optimization
- multiobjective evolutionary algorithm
- initial population
- imperialist competitive algorithm
- bi objective
- multi objective differential evolution
- particle swarm
- knapsack problem
- fitness function
- text classification
- knn
- mutation operator
- global optimization
- ant colony optimization
- optimization problems
- neural network
- crossover operator
- artificial bee colony
- support vector machine svm
- constrained multi objective optimization problems
- objective function