Nature-inspired optimization algorithms. (2020)

• Record Type: Book
• Further Information: Note: Xin-She Yang.
• Authors: Yang, Xin-She
• Contents: 1. Introduction to Algorithms 2. Mathematical Foundations 3. Analysis of Algorithms 4. Random Walks and Optimization 5. Simulated Annealing 6. Genetic Algorithms 7. Differential Evolution 8. Particle Swarm Optimization 9. Firefly Algorithms 10. Cuckoo Search 11. Bat Algorithms 12. Flower Pollination Algorithms 13. A Framework for Self-Tuning Algorithms 14. How to Deal With Constraints 15. Multi-Objective Optimization 16. Data Mining and Deep Learning Appendix A Test Function Benchmarks for Global Optimization Appendix B Matlab® Programs
• Edition: 2nd edition
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.6; Mathematical optimization; Nature-inspired algorithms
• Languages: English
• ISBNs: 9780128219898
• Related ISBNs: 9780128219867
• 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.