Multi-objective optimization using hybrid genetic algorithm and cellular learning automata applying to graph partitioning problem.
Mehdi FarshbafMohammad-Reza Feizi-DerakhshiArash RoshanpoorPublished in: HIS (2011)
Keyphrases
- multi objective optimization
- learning automata
- hybrid genetic algorithm
- graph partitioning
- genetic algorithm
- multi objective
- evolutionary algorithm
- genetic operators
- graph model
- crossover operator
- weighted graph
- image segmentation
- differential evolution
- mutation operator
- fitness function
- quadratic assignment problem
- clustering algorithm
- reinforcement learning
- spectral clustering
- particle swarm optimization
- data clustering
- neural network
- optimization problems
- optimization method
- superpixels
- nsga ii
- simulated annealing
- multi objective evolutionary algorithms
- multiscale
- genetic algorithm ga
- optimization algorithm
- evolution strategy
- pairwise
- search algorithm