Using graph neural networks as surrogate models in genetic programming.
Martin PilátGabriela SuchopárováPublished in: GECCO Companion (2022)
Keyphrases
- genetic programming
- neural network
- financial forecasting
- fitness function
- genetic algorithm
- symbolic regression
- evolutionary computation
- grammar guided genetic programming
- graph theory
- random walk
- artificial neural networks
- gene expression programming
- graph representation
- graph matching
- fuzzy logic
- pattern recognition
- directed graph
- evolutionary algorithm
- weighted graph
- training process
- fuzzy systems
- multi layer
- structured data
- multilayer perceptron
- neural network model
- bipartite graph
- graph structure
- recurrent neural networks
- spanning tree
- dependency graph
- feed forward
- graph theoretic
- image segmentation
- classification rules
- connected components
- random graphs
- activation function
- graph databases
- graph model
- neural nets