Abstract
A well-cited paper suggesting fuzzy coding as an alternative to the conventional binary, grey and floating-point representations used in genetic algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 344-355 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Evolutionary Computation |
| Volume | 7(4) |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Aug 2003 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Artificial Intelligence
- Theoretical Computer Science
- Computational Theory and Mathematics
- Safety, Risk, Reliability and Quality