FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm.
Jassim Al-FadhliAli JaraghMohammad Gh. AlFailakawiImtiaz AhmadPublished in: Neural Comput. Appl. (2022)
Keyphrases
- experimental evaluation
- improved algorithm
- dynamic programming
- optimization algorithm
- single pass
- detection algorithm
- learning algorithm
- high accuracy
- theoretical analysis
- cost function
- computational cost
- estimation algorithm
- worst case
- computationally efficient
- classification algorithm
- search strategy
- selection algorithm
- probabilistic model
- neural network
- np hard
- significant improvement
- preprocessing
- computational complexity
- optimal solution
- similarity measure
- simulated annealing
- k means
- search space
- allocation strategy