2014 IEEE Symposium on Differential Evolution (SDE)
| Author/creator | IEEE Staff |
| Other author | IEEE Xplore (Online service) |
| Format | Electronic |
| Publication Info | Piscataway : IEEE |
| Supplemental Content | Full text available from IEEE Electronic Library (IEL) |
| Supplemental Content | Full text available from IEEE Electronic Library (IEL) Conference Proceedings |
| Subjects |
| Summary | Annotation Differential Evolution (DE) is arguably one of the most powerful stochastic real parameter optimization algorithms in current use DE is a very simple algorithm, requiring only a few lines of code in most of the existing programming languages Additionally, it has very few control parameters Nonetheless, DE exhibits remarkable performance in optimizing a wide variety of optimization problems in terms of final accuracy, convergence speed, and robustness as evidenced by the consistently excellent performance in all of the CEC competitions (http www3 ntu edu sg home epnsugan) The last decade has witnessed a rapidly growing research interest in DE as demonstrated by the significant increase in the number of research publications on DE in the forms of monographs, edited volumes and archival articles Although research on and with DE has reached an impressive state, there are still many open problems and new application areas are continually emerging for the algorithm |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9781479944606 |
| ISBN | 1479944602 (Spiral) Active Record |
| Stock number | 00066573 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |