RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms.
Allan TuckerJason CramptonStephen SwiftPublished in: Evol. Comput. (2005)
Keyphrases
- genetic algorithm
- evolutionary algorithm
- genetic programming
- differential evolution
- mutation operator
- neural network
- simulated annealing
- evolutionary computation
- multi objective
- fuzzy logic
- data sets
- crossover and mutation
- crossover operator
- genetic algorithm ga
- artificial neural networks
- multi objective optimization
- perceptual grouping
- fitness function
- computationally efficient
- image representation
- expert systems
- case study
- genetic search
- real time