Metaheuristic computation with MATLAB℗ʼ / Erik Cuevas, Alma Rodr©Ưguez.
| Author/creator | Cuevas, Erik |
| Other author | Rodr©Ưguez, Alma (Computer science scholar) |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, Taylor & Francis Group, 2021 |
| Description | xix, 260 pages ; 26 cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Contents | Introduction and main concepts -- Genetic algorithms (GA) -- Evolutionary Strategies (ES) -- Moth Flame Optimization (MFO) -- Differential Evolution (DE) -- Particle Swarm Optimization Algorithm (PSO) -- Artificial Bee Colony (ABC) -- Cuckoo Search Algorithm (CS) -- Multimodal techniques. |
| Abstract | "Metaheuristic algorithms are considered generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies. The main purpose of this book is to provide a unified view of the most popular metaheuristic methods. Under this perspective, it has presented the fundamental design principles as well as the operators of metaheuristic approaches which are considered essential. In the explanation, not only the design aspects have been considered, but also their implementation using the popular software MATLAB"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020014306 |
| ISBN | 9780367438869 (hardback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |