Nature-inspired algorithms : for engineers and scientists /: for engineers and scientists. (2022)
- Record Type:
- Book
- Title:
- Nature-inspired algorithms : for engineers and scientists /: for engineers and scientists. (2022)
- Main Title:
- Nature-inspired algorithms : for engineers and scientists
- Further Information:
- Note: K.K. Mishra.
- Authors:
- (Professor of Computer Science), Mishra, K. K
- Contents:
- Preface. Acknowledgments. About the Author. Introduction. Binary Genetic Algorithms. Real-Parameter Genetic Algorithm. Differential Evolution. Particle Swarm Optimization. Grey Wolf Optimization. Environmental Adaptation Method. Other Important Optimization Algorithms. Application of Genetic Algorithms, Partial Swarm Optimization, and Differential Evolution in Software Testing. Application of Genetic Algorithms, Partial Swarm Optimization, and Differential Evolution in Regression Testing. Application of Genetic Algorithms and Partial Swarm Optimization in Cloud Computing. References and Further Reading. Index.
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2022
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 571.0284
Nature-inspired algorithms
Engineering -- Data processing
Science -- Data processing - Languages:
- English
- ISBNs:
- 9781000637632
9781000637595
9781003313649 - Related ISBNs:
- 9780367750497
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.727191
- Ingest File:
- 14_052.xml