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Grammatical evolution (GE) is a genetic programming (GP) technique (or approach) from evolutionary computation pioneered by Conor Ryan, JJ Collins and Michael O'Neill in 1998 at the BDS Group in the University of Limerick.
Products, GE's solution & Problem addressed
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ge genetic search gp grammatical evolution programming approach work used grammar algorithm function one program phenotype evolutionary expression form mapping
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| double-precision floating point | instance of | this is implemented by dealing with a single data-type | 0.80 | text |
| predator efficiency | instance of | GE has also been used with a classic predator-prey model to explore the impact of parameters | 0.80 | text |
| niche number | instance of | GE has also been used with a classic predator-prey model to explore the impact of parameters | 0.80 | text |
| and random mutations on ecological stability.It is possible to structure a GE grammar that for a given function/terminal set is equivalent to genetic programming | instance of | GE has also been used with a classic predator-prey model to explore the impact of parameters | 0.80 | text |
| Grammatical evolution | related to Problem addressed | In | 0.60 | section |
| Grammatical evolution | related to Problem addressed | Koza-style GP | 0.60 | section |
| Grammatical evolution | related to Problem addressed | Usually | 0.60 | section |
| Grammatical evolution | related to Problem addressed | While | 0.60 | section |
| Grammatical evolution | related to Problem addressed | Genetic Programming | 0.60 | section |
| Grammatical evolution | related to Resources | Grammatical Evolution Tutorial | 0.60 | section |
| Grammatical evolution | related to Resources | Java Archived | 0.60 | section |
| Grammatical evolution | related to Resources | Wayback Machine | 0.60 | section |
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