Abstract
In a previous work we presented DEWPAA: an improved version of the piecewise aggregate approximation representation method of time series. DEWPAA uses differential evolution to set weights to different segments of the time series according to their information content. In this paper we use a hybrid of bacterial foraging and genetic algorithm (CGA) to set the weights of the different segments in our improved piecewise aggregate approximation. Our experiments show that the new hybrid gives better results in time series clasification.
| Original language | English |
|---|---|
| Title of host publication | ICORES 2015 - 4th International Conference on Operations Research and Enterprise Systems, Proceedings |
| Editors | Begona Vitoriano, Greg H. Parlier |
| Publisher | SciTePress |
| Pages | 205-210 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789897580758 |
| Publication status | Published - 1 Jan 2015 |
| Externally published | Yes |
| Event | 4th International Conference on Operations Research and Enterprise Systems - Lisbon, Portugal Duration: 10 Jan 2015 → 12 Jan 2015 Conference number: 4th http://www.icores.org/?y=2015 |
Publication series
| Name | ICORES 2015 - 4th International Conference on Operations Research and Enterprise Systems, Proceedings |
|---|
Conference
| Conference | 4th International Conference on Operations Research and Enterprise Systems |
|---|---|
| Abbreviated title | ICORES 2015 |
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 10/01/15 → 12/01/15 |
| Internet address |
Keywords
- Bacterial Foraging
- Chemotaxis
- Genetic Algorithm
- Hybridization
- Piecewise Aggregate Approximation
- Time Series
ASJC Scopus subject areas
- Management Science and Operations Research
- Computational Theory and Mathematics
- Computer Science Applications
- Control and Systems Engineering