Nature-inspired metaheuristic algorithms / Xin-She Yang
Material type: TextLanguage: ENG Publication details: United Kingdom Luniver Press 2010Edition: 2nd edDescription: 148 pISBN:- 9781905986286
- 519.3 YAN-X
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Reference | BITS Pilani Hyderabad | 510 | Text & Reference Section (Student cannot borrow these books) | 519.3 YAN-X (Browse shelf(Opens below)) | Checked out | 08/02/2022 | 40103 | |
Reference | BITS Pilani Hyderabad | 510 | Text & Reference Section (Student cannot borrow these books) | 519.3 YAN-X (Browse shelf(Opens below)) | Available | 30355 | ||
Reference | BITS Pilani Hyderabad | 510 | Text & Reference Section (Student cannot borrow these books) | 519.3 YAN-X (Browse shelf(Opens below)) | Available | 30356 | ||
Reference | BITS Pilani Hyderabad | 510 | Text & Reference Section (Student cannot borrow these books) | 519.3 YAN-X (Browse shelf(Opens below)) | Available | 17732 |
Modern metaheuristic algorithms such as particle swarm optimization and cuckoo search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms for global optimization, including ant and bee algorithms, bat algorithm, cuckoo search, differential evolution, firefly algorithm, genetic algorithms, harmony search, particle swarm optimization, simulated annealing and support vector machines. In this revised edition, we also include how to deal with nonlinear constraints. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course as well as for self study. As some of the algorithms such as the cuckoo search and firefly algorithms are at the forefront of current research, this book can also serve as a reference for researchers.
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