Nature-inspired optimization algorithms. (2020)
- Record Type:
- Book
- Title:
- Nature-inspired optimization algorithms. (2020)
- Main Title:
- Nature-inspired optimization algorithms
- Further Information:
- Note: A. Vasuki.
- Authors:
- Vasuki, A
- Contents:
- 1.Introduction 2. Classical Optimization Methods. 3. Nature inspired Algorithms. 4. Genetic Algorithm. 5. Genetic Programming. 6. Particle Swarm Optimization. 7. Differential Evolution 8. Ant Colony Optimization. 9. Bee Colony Optimization. 10. Fish School Search Optimization. 11. Cuckoo Search Algorithm 12. Firefly Algorithm. 13. Bat Algorithm. 14. Flower Pollination Algorithm. 15. Grey Wolf Optimization 16. Elephant Herding Algorithm. 17. Crow Search Algorithm. 18. Raven Roosting Optimization Algorithm 19. Applications 20. Conclusion.
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2020
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 519.6
Mathematical optimization
Algorithms
Mathematics in nature - Languages:
- English
- ISBNs:
- 9781000076646
9781000076608
9780429289071 - Related ISBNs:
- 9780367255985
- Notes:
- 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.512150
- Ingest File:
- 03_090.xml