Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search.
Lei ShiYouchuan WanXianjun GaoMingwei WangPublished in: Comput. Intell. Neurosci. (2018)
Keyphrases
- tabu search
- genetic algorithm
- feature selection
- simulated annealing
- metaheuristic
- classification accuracy
- job shop scheduling problem
- path relinking
- text classification
- memetic algorithm
- vehicle routing problem
- feature set
- hybrid algorithm
- search procedure
- test problems
- heuristic methods
- feasible solution
- quadratic assignment problem
- scheduling problem
- support vector
- machine learning
- feature subset
- feature extraction
- decision trees
- text categorization
- benchmark instances
- tabu search algorithm
- multidimensional knapsack problem
- feature space
- multi start
- genetic algorithm ga
- neural network
- tabu list
- iterated local search
- search algorithm
- variable neighborhood search
- fitness function
- ant colony optimization
- training set
- max sat
- combinatorial optimization
- multi objective
- scatter search
- search space
- support vector machine
- job shop
- evolutionary algorithm
- exact algorithms
- linear programming
- naive bayes
- flowshop
- computational efficiency