Name
Abstract | ||
|---|---|---|
In this paper, we describe a novel application of evolutionary computation, namely for evolving ontologies. The general algorithm of evolutionary ontologies follow roughly the same guidelines as any other genetic algorithms. However, we introduced a new genetic operator, called repair, which is needed in order to make the offspring viable. Experiments for the generation of user centered automatically generated scenes demonstrate the performance of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CEC.2014.6900499 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
genetic algorithms,mathematical operators,ontologies (artificial intelligence),evolutionary computation,evolutionary ontologies,genetic algorithms,genetic operator,repair,user centered automatically generated scenes | Interactive evolutionary computation,Human-based evolutionary computation,Computer science,Evolutionary computation,Theoretical computer science,Evolution strategy,Artificial intelligence,Genetic representation,Evolutionary programming,Evolutionary music,Machine learning,Java Evolutionary Computation Toolkit | Conference |
Citations | PageRank | References |
4 | 0.54 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliviu Matei | 1 | 43 | 11.15 |
| Diana Contras | 2 | 10 | 2.10 |
| Petrica C. Pop | 3 | 183 | 27.86 |