Overview
- Discusses all major nature-inspired algorithms with a focus on the applications
- Reviews the common, nature-inspired navigation abilities and thier link to modern approaches for practical navigation
- Presents numerous case studies
Part of the book series: Springer Tracts in Nature-Inspired Computing (STNIC)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches.
Editors and Affiliations
About the editors
Dr. Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford, then worked at Cambridge University and UK's National Physical Laboratory as a Senior Research Scientist. Now he Reader in modelling and optimization at Middlesex University London. He is also the IEEE CIS task force chair for business intelligence and knowledge management. With more than 250 research publications and 25 books, he has named as a highly cited researcher by Clarivate Analytics (formerly Thomson Reuters Web of Science) for four consecutive years (2016, 2017, 2018 and 2019). His main research interests include computational intelligence, nature-inspired computing, applied mathematics, machine learning, modelling and simulation as well as data mining.
Prof. Yu-Xin Zhao received his Ph.D. degree in Navigation, Guidance, and Control from Harbin Engineering University (HEU) in 2005 and completed postdoctoral research in Control Science and Engineering at Harbin Institute of Technology (HIT) in 2008. He is currently the Dean and a Professor at the College of Automation, Harbin Engineering University. His research interests include artificial intelligence, filtering theory, navigation theory and application, as well as intelligent transportation systems. He has published more than 100 papers, including more than 40 international journal papers in these areas. He also has 18 national patents. Dr. Zhao has won numerous awards, including the Young ChangJiang Scholar (2018) and LongJiang Scholar. He has served the academic community in various capacities, including Fellow of IET, senior member of IEEE, a member of the Royal Institute of Navigation, and a Fellow of China Navigation Institute.
Bibliographic Information
Book Title: Nature-Inspired Computation in Navigation and Routing Problems
Book Subtitle: Algorithms, Methods and Applications
Editors: Xin-She Yang, Yu-Xin Zhao
Series Title: Springer Tracts in Nature-Inspired Computing
DOI: https://doi.org/10.1007/978-981-15-1842-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-1841-6Published: 20 February 2020
Softcover ISBN: 978-981-15-1844-7Published: 20 February 2021
eBook ISBN: 978-981-15-1842-3Published: 19 February 2020
Series ISSN: 2524-552X
Series E-ISSN: 2524-5538
Edition Number: 1
Number of Pages: XI, 222
Number of Illustrations: 42 b/w illustrations, 20 illustrations in colour
Topics: Computational Intelligence, Algorithm Analysis and Problem Complexity, Mathematics of Computing, Simulation and Modeling