Items related to Nature-Inspired Optimization Algorithms
Synopsis
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization.
This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.
- Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature
- Provides a theoretical understanding as well as practical implementation hints
- Provides a step-by-step introduction to each algorithm
"synopsis" may belong to another edition of this title.
About the Author
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).
"About this title" may belong to another edition of this title.
- PublisherElsevier
- Publication date2016
- ISBN 10 0128100605
- ISBN 13 9780128100608
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages300
- Rating
Search results for Nature-Inspired Optimization Algorithms
Stock Image
Nature-Inspired Optimization Algorithms
Print on DemandSeller: Brook Bookstore On Demand, Napoli, NA, Italy
Seller rating 5 out of 5 stars
Condition: new. Questo è un articolo print on demand. Seller Inventory # 730429d0a2d960eeea734fb4ec36ea20
Quantity: Over 20 available
Stock Image
Nature-Inspired Optimization Algorithms
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. pp. 276. Seller Inventory # 372102025
Quantity: 3 available
Stock Image
Nature-Inspired Optimization Algorithms
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 276. Seller Inventory # 26375024726
Quantity: 3 available
Seller Image
Nature-inspired Optimization Algorithms
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 26404800-n
Quantity: Over 20 available
Stock Image
Nature-Inspired Optimization Algorithms
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. reprint edition. 276 pages. 8.75x5.75x0.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0128100605
Quantity: 2 available
Stock Image
Nature-Inspired Optimization Algorithms
Published by
Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128100605
ISBN 13: 9780128100608
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 370. Seller Inventory # B9780128100608
Quantity: Over 20 available
Seller Image
Nature-Inspired Optimization Algorithms
Published by
Elsevier Science & Technology, Elsevier, 2016
ISBN 10: 0128100605
ISBN 13: 9780128100608
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Englisch. Seller Inventory # 9780128100608
Quantity: 2 available
Stock Image
Nature-Inspired Optimization Algorithms
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. pp. 276. Seller Inventory # 18375024732
Quantity: 3 available
Seller Image
Nature-inspired Optimization Algorithms
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 26404800
Quantity: Over 20 available
Stock Image
Nature-Inspired Optimization Algorithms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780128100608_new
Quantity: Over 20 available