Nature-Inspired Algorithms and Applied Optimization by Xin-She Yang
This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
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Computational Intelligence in Internet of Agricultural Things
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Intelligent Distributed Computing XVI
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Computational Intelligence and Mathematics for Tackling Complex Problems 7
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Nature-Inspired Optimization Algorithms
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Nature-Inspired Computation and Swarm Intelligence
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Computational Optimization and Applications in Engineering and Industry
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Artificial Intelligence, Evolutionary Computing and Metaheuristics
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Nature-Inspired Computation in Data Mining and Machine Learning
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Cuckoo Search and Firefly Algorithm
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Fourth International Congress on Information and Communication Technology
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Metaheuristic Applications in Structures and Infrastructures
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Third International Congress on Information and Communication Technology
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Engineering Simulation and its Applications
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Introduction to Algorithms for Data Mining and Machine Learning
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Proceedings of Sixth International Congress on Information and Communication Technology
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Nature-Inspired Computation in Engineering
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Nature-Inspired Computation in Navigation and Routing Problems
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Metaheuristics in Water, Geotechnical and Transport Engineering
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Metaheuristics and Optimization in Civil Engineering
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Mathematical Foundations of Nature-Inspired Algorithms
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Recent Advances in Swarm Intelligence and Evolutionary Computation
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Bio-Inspired Computation in Telecommunications
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Benchmarks and Hybrid Algorithms in Optimization and Applications
“The book is rich with relevant illustrations and real-life/practical problems, where the various topics are or can be applied. The book is a comprehensive and in-depth study, and the style of presentation is remarkable. These aspects make reading this book an absolute delight.” (Sudev Naduvath,Computing Reviews, August, 2018)
The University of Oxford awarded Dr. Xin-She Yang a DPhil in Applied Mathematics. He is an Adjunct Professor at Reykjavik University in Iceland and a Reader at Middlesex University in London. He has written or edited over 25 books. In addition, he is the Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimisation.
| SKU | Unavailable |
| ISBN 13 | 9783319676685 |
| ISBN 10 | 3319676687 |
| Title | Nature-Inspired Algorithms and Applied Optimization |
| Author | Xin She Yang |
| Series | Studies In Computational Intelligence |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2017-10-18 |
| Number of pages | 330 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |