MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders.
Daniel DimanovEmili Balaguer-BallesterColin SingletonShahin RostamiPublished in: CoRR (2021)
Keyphrases
- multi objective
- deep belief networks
- restricted boltzmann machine
- denoising
- optimization algorithm
- evolutionary algorithm
- multi objective optimization
- multiobjective optimization
- cooperative coevolution
- artificial neural networks
- genetic algorithm
- deep learning
- multiple objectives
- conflicting objectives
- unsupervised learning
- objective function
- evolutionary optimization
- particle swarm optimization
- multi objective optimization problems
- pareto optimal
- convolutional neural networks
- network topologies
- nsga ii
- network architecture
- sparse coding
- probabilistic model
- controller design
- conditional random fields
- feedforward neural networks
- semi supervised
- bi objective
- back propagation
- control system
- optimum design
- multiobjective evolutionary algorithm
- trade off
- learning algorithm