Balancing exploration and exploitation in social spider optimisation using logistic chaotic map and opposition-based learning with an application to data clustering.
Ravichandran ThalamalaB. JanetA. V. ReddyPublished in: Int. J. Comput. Aided Eng. Technol. (2022)
Keyphrases
- data clustering
- chaotic map
- opposition based learning
- piecewise linear
- image encryption
- balancing exploration and exploitation
- particle swarm optimization
- multi objective genetic algorithm
- unsupervised learning
- clustering algorithm
- k means
- hash functions
- differential evolution
- cluster analysis
- inertia weight
- reinforcement learning
- s box
- learning to rank
- similarity search
- genetic algorithm
- data sets
- multi objective
- dynamic programming
- artificial neural networks
- pattern recognition
- search algorithm
- feature selection
- neural network