Nature-inspired optimization algorithms [electronic resource] / Xin-She Yang.
Material type: TextSeries: Publication details: London ; Waltham, MA : Elsevier, 2014 Edition: 1st edISBN:- 9780124167438
- 9780124167438
- 519.6 23
- QA402.5 .Y36 2014eb
- Available also in a print ed.
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
E-Books | Library, Independent University, Bangladesh (IUB) | Non-fiction | 519.6 (Browse shelf(Opens below)) | Available |
Title from title screen.
Includes bibliographical references.
1. Introduction to Algorithms -- 2. Analysis of Algorithms -- 3. Random Walks and Optimization -- 4. Simulated Annealing -- 5. Genetic Algorithms -- 6. Differential Evolution -- 7. Particle Swarm Optimization -- 8. Firefly Algorithms -- 9. Cuckoo Search -- 10. Bat Algorithms -- 11. Flower Pollination Algorithms -- 12. A Framework for Self-Tuning Algorithms -- 13. How to Deal with Constraints -- 14. Multiobjective Optimization -- 15. Other Algorithms and Hybrid Algorithms -- APPENDIX A Test Function Benchmarks for Global Optimization -- APPENDIX B Matlab Programs
Text.
Computer science
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Digitized and made available by: Books24x7.com.