Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms.
Fuad Alhaj OmarAhmet Afsin KulaksizPublished in: Neural Comput. Appl. (2021)
Keyphrases
- experimental evaluation
- learning algorithm
- times faster
- synthetic and real datasets
- computational complexity
- single pass
- related algorithms
- computationally efficient
- optimization algorithm
- theoretical analysis
- computational cost
- preprocessing
- worst case
- classification algorithm
- dynamic programming
- noisy data
- cost function
- space complexity
- filtering algorithm
- detection algorithm
- computational efficiency
- convergence rate
- benchmark problems
- optimal solution
- synthetic datasets
- algorithms require
- k means
- significant improvement
- np hard
- image processing algorithms
- exhaustive search
- objective function
- iterative algorithms
- hybrid algorithm
- segmentation algorithm
- optimization problems
- data structure
- memory requirements
- visual tracking
- combinatorial optimization
- differential evolution
- moving target
- matching algorithm
- linear programming
- simulated annealing
- evolutionary algorithm
- maximum flow