A Fuzzy Clustering Based Selection Method to Maintain Diversity in Genetic Algorithms.
Yoshiaki SakakuraNoriyuki TaniguchiYukinobu HoshinoKatsuari KameiPublished in: IEEE Congress on Evolutionary Computation (2006)
Keyphrases
- genetic algorithm
- high accuracy
- selection strategy
- cost function
- high precision
- computational cost
- detection method
- multi objective
- experimental evaluation
- optimization method
- fuzzy logic
- artificial neural networks
- simulated annealing
- clustering method
- computational complexity
- genetic algorithm ga
- fine tuning
- hybrid ga
- fuzzy reasoning
- segmentation method
- support vector machine
- probabilistic model
- dynamic programming
- similarity measure
- face recognition