Nature-Inspired Optimization Algorithms by Xin-She Yang
Nature-Inspired Optimization Algorithms, Second Edition provides an 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 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, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications.-
INTRODUCTION TO COMPUTATIONAL MATHEMATICS (2ND EDITION)
-
Proceedings of 11th International Congress on Information and Communication Technology
-
Proceedings of Tenth International Congress on Information and Communication Technology
-
Proceedings of Fifth International Congress on Information and Communication Technology
-
Nature-Inspired Computation and Swarm Intelligence
-
Computational Optimization and Applications in Engineering and Industry
-
Artificial Intelligence, Evolutionary Computing and Metaheuristics
-
Nature-Inspired Computation in Data Mining and Machine Learning
-
Cuckoo Search and Firefly Algorithm
-
Fourth International Congress on Information and Communication Technology
-
Metaheuristic Applications in Structures and Infrastructures
-
Third International Congress on Information and Communication Technology
-
Engineering Simulation and its Applications
-
Introduction to Algorithms for Data Mining and Machine Learning
-
Proceedings of Sixth International Congress on Information and Communication Technology
-
Nature-Inspired Computation in Engineering
-
Nature-Inspired Computation in Navigation and Routing Problems
-
Metaheuristics in Water, Geotechnical and Transport Engineering
-
Nature-Inspired Algorithms and Applied Optimization
-
Metaheuristics and Optimization in Civil Engineering
-
Mathematical Foundations of Nature-Inspired Algorithms
-
Recent Advances in Swarm Intelligence and Evolutionary Computation
-
Bio-Inspired Computation in Telecommunications
-
Benchmarks and Hybrid Algorithms in Optimization and Applications
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).
| SKU | Unavailable |
| ISBN 13 | 9780128219867 |
| ISBN 10 | 0128219866 |
| Title | Nature-Inspired Optimization Algorithms |
| Author | Xin She Yang |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Elsevier Science Publishing Co Inc |
| Year published | 2020-09-14 |
| Number of pages | 310 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |