Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimisation.
Hamed Shah-HosseiniPublished in: Int. J. Comput. Sci. Eng. (2011)
Keyphrases
- metaheuristic
- principal components analysis
- search algorithm
- search space
- tabu search
- genetic algorithm
- ant colony optimization
- simulated annealing
- scatter search
- covariance matrix
- combinatorial optimization
- optimization problems
- dimensionality reduction
- particle swarm optimization
- optimal solution
- linear discriminant analysis
- path relinking
- suboptimal solutions
- branch and bound
- principal components
- vehicle routing problem
- support vector machine
- iterated local search
- evolutionary algorithm
- feature extraction
- traveling salesman problem
- harmony search
- multi start
- guided local search
- hill climbing
- memetic algorithm
- variable neighborhood search
- principal component analysis
- multi objective
- max sat
- benchmark instances
- search procedure
- feasible solution
- constraint satisfaction problems
- support vector
- hybrid metaheuristic
- objective function
- set of benchmark instances
- ant colony optimization metaheuristic