Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach.
Ivo GonçalvesSara SilvaCarlos M. FonsecaMauro CastelliPublished in: GECCO (Companion) (2016)
Keyphrases
- genetic programming
- arbitrarily close
- fitness function
- evolutionary computation
- finite number
- geometric structure
- error rate
- evolutionary algorithm
- gene expression programming
- pairwise
- cartesian coordinates
- error bounds
- vector space
- semantic information
- semantic web
- semantic annotation
- sequence alignment
- semantic knowledge
- concept space
- low dimensional
- semantic space
- minimal surface
- financial forecasting
- search space
- natural language
- grammar guided genetic programming