Using semantics in the selection mechanism in Genetic Programming: A simple method for promoting semantic diversity.
Edgar Galván LópezBrendan Cody-KennyLeonardo TrujilloAhmed KattanPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- selection mechanism
- genetic programming
- semantic information
- semantically equivalent
- fitness function
- semantic relationships
- semantic models
- semantic representation
- semantic interpretation
- semantic representations
- semantic aspects
- symbolic regression
- conceptual graphs
- semantic structure
- high level semantics
- evolutionary computation
- semantic properties
- semantic meaning
- gene expression programming
- grammar guided genetic programming
- semantic knowledge
- semantic features
- semantic similarity
- semantic web
- semantically relevant
- evolutionary algorithm
- semantic descriptions
- action descriptions
- semantic constraints
- financial forecasting
- natural language understanding
- genetic algorithm
- logic programming
- natural language
- high level
- selective attention
- semantic description
- semantically meaningful
- semantic analysis
- semantic network
- knowledge representation
- lexical semantics
- low level
- domain knowledge
- multi objective
- computer vision