Adaptive stochastic optimization techniques with applications
This book describes state-of-the-art optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. It presents modern advances in static and dynamic optimization, decision analysis, intelligent systems, evolutionary programming, heuristic optimization, stochastic an...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, Florida :
CRC Press
[2016]
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| Edition: | 1st ed |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629693306719 |
| Summary: | This book describes state-of-the-art optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. It presents modern advances in static and dynamic optimization, decision analysis, intelligent systems, evolutionary programming, heuristic optimization, stochastic and adaptive dynamic programming, and adaptive critics. It evaluates optimization methods for handling operational planning, Voltage/VAr, control coordination, vulnerability, reliability, resilience, and reconfiguration issues, providing mathematical formulations, algorithms for implementation, examples, and case studies. It also discusses the limitations of current optimization techniques in meeting the challenges of smart electric grids. |
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| Item Description: | Description based upon print version of record |
| Physical Description: | 1 online resource (435 p.) : illustrations |
| Bibliography: | Includes bibliographical references at the end of each chapters |
| ISBN: | 9780429104305 9781498782449 9781439829790 |
