Opposition-based Multi-Objective ADAM Optimizer (OMAdam) for Training ANNs.
Farzaneh NikbakhtsarvestaniShahryar RahnamayanMehran EbrahimiPublished in: CEC (2024)
Keyphrases
- multi objective
- optimization algorithm
- artificial neural networks
- evolutionary algorithm
- evolutionary artificial neural networks
- multi objective optimization
- feed forward neural networks
- feedforward artificial neural networks
- multiple objectives
- using artificial neural networks
- objective function
- multi objective optimization problems
- bi objective
- multiobjective optimization
- pareto optimal
- nsga ii
- training process
- genetic algorithm
- neural nets
- training set
- particle swarm optimization
- application of artificial neural networks
- query optimization
- back propagation
- hidden markov models
- online learning
- genetic programming
- optimum design
- evolutionary optimization
- multi objective evolutionary algorithms
- neural network
- activation function
- multi layer perceptron
- genetic algorithm ga
- training algorithm