On Selection of Intraocular Power Formula Using Support Vector Machines and Genetic Algorithm.
Naotake KamiuraTomoya FukudaAyumu SaitohTeijiro IsokawaNobuyuki MatsuiHitoshi TabuchiPublished in: ISMVL (2013)
Keyphrases
- genetic algorithm
- crossover and mutation
- fitness function
- neural network
- power consumption
- metaheuristic
- real time
- artificial intelligence
- selection strategy
- genetic operators
- learning to classify
- simulated annealing
- multi objective
- evolutionary computation
- hybrid algorithm
- multi objective optimization
- job shop scheduling problem
- real coded