Abstract
This chapter gives a conceptual overview of optimization techniques, describing their main characteristics. The goal of this introduction is to motivate the consideration of evolutionary methods for solving optimization problems. The study of the optimization methods is conducted in such a way that it is clear the necessity of using evolutionary optimization methods for the solution of image processing and pattern recognition problems.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Systems Reference Library |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 13-21 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Externally published | Yes |
Publication series
| Name | Intelligent Systems Reference Library |
|---|---|
| Volume | 117 |
| ISSN (Print) | 1868-4394 |
| ISSN (Electronic) | 1868-4408 |
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems and Management
- Library and Information Sciences
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Cite this
Oliva, D., & Cuevas, E. (2017). Optimization. In Intelligent Systems Reference Library (pp. 13-21). (Intelligent Systems Reference Library; Vol. 117). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-48550-8_2