A clustering-based symbiotic organisms search algorithm for high-dimensional optimization problems.
Chao-Lung YangHendri SutrisnoPublished in: Appl. Soft Comput. (2020)
Keyphrases
- optimization problems
- search algorithm
- high dimensional
- evolutionary algorithm
- cost function
- low dimensional
- heuristic search
- metaheuristic
- objective function
- similarity search
- high dimensional data
- high dimensionality
- dimensionality reduction
- search space
- branch and bound
- parameter space
- sparse data
- optimization methods
- traveling salesman problem
- variable selection
- data points
- multi modal
- dna sequences
- combinatorial optimization
- nearest neighbor
- gene expression data
- data sets
- tabu search
- search tree
- search procedure
- noisy data
- feature space
- multi dimensional
- high dimensional problems
- high dimensional spaces
- metabolic networks
- human genome
- phylogenetic analysis
- manifold learning
- metric space
- sparse coding
- microarray data
- optimal solution
- clustering algorithm
- feature selection