Topology optimization of neural networks based on a coupled genetic algorithm and particle swarm optimization techniques (c-GA-PSO-NN).
Azam MarjaniSaeed ShirazianMehdi AsadollahzadehPublished in: Neural Comput. Appl. (2018)
Keyphrases
- particle swarm
- genetic algorithm
- neural network
- optimization method
- fitness function
- optimization methods
- particle swarm optimization
- genetic algorithm ga
- multi objective
- optimization strategy
- evolutionary algorithm
- optimisation problems
- particle swarm algorithm
- fuzzy logic
- hybrid optimization algorithm
- artificial neural networks
- particle swarm optimization pso
- particle swarm optimization algorithm
- premature convergence
- differential evolution
- pso algorithm
- optimization algorithm
- optimization problems
- distribution network
- simulated annealing
- hybrid algorithm
- real coded
- back propagation
- genetic operators
- global search
- evolutionary computation
- binary particle swarm optimization
- genetic programming
- standard pso
- crossover operator
- particle swarm optimisation
- job shop scheduling problem
- crossover and mutation
- differential evolution algorithm
- search capabilities
- metaheuristic
- neural network model
- function optimization
- global optimization
- evolutionary computing
- learning classifier systems
- hybrid particle swarm optimization
- tabu search
- fitness values
- hybrid genetic algorithm
- machine learning
- swarm intelligence
- nearest neighbor
- inertia weight
- evolutionary strategy
- evolutionary process
- mutation operator
- bp neural network
- multilayer perceptron
- computational intelligence
- expert systems
- artificial intelligence