Is Chaotic Randomization Advantageous for Higher Dimensional Optimization Problems?
Roman SenkerikAdam ViktorinTomas KadavyMichal PluhacekIvan ZelinkaPublished in: ICAISC (2) (2020)
Keyphrases
- higher dimensional
- optimization problems
- evolutionary algorithm
- metaheuristic
- high dimensional
- euclidean space
- lower dimensional
- objective function
- cost function
- low dimensional
- finite dimensional
- arbitrary dimension
- distance transform
- knapsack problem
- convex sets
- medical images
- image analysis
- pattern recognition
- database systems
- genetic algorithm
- neural network