Applied evolutionary algorithms for engineers with Python / Leonardo Azevedo Scardua, Federal Institute of Technology of Esp©Ưrito Santo, Vitoria, Brazil.
| Author/creator | Scardua, Leonardo Azevedo, 1966- |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, Taylor and Francis Group, 2021. |
| Description | 1 online resource (vii, 245 pages) |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Abstract | "This book was written for students, scientists and engineers who need to apply evolutionary algorithms to practical optimization problems. The presentation of the theoretical background is complemented with didactical Python implementations of evolutionary algorithms that researchers have recently applied to complex optimization problems. Cases of successful application of evolutionary algorithms to real-world like optimization problems are presented, together with source code that allows the reader to gain insight into the idiosyncrasies of of the practical application of evolutionary algorithms"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references (pages 233-240) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher; resource not viewed. |
| Issued in other form | Print version: Applied evolutionary algorithms for engineers with Python Boca Raton : CRC Press, Taylor & Francis Group, 2021. 9780367263133 |
| Genre/form | Electronic books. |
| LCCN | 2021693136 |
| ISBN | 9781000349801 ebook |
| ISBN | (hardcover) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |