Editors:
- Focuses on algorithms that are highly efficient in solving non-linear non-convex problems
- Gives practical insights into the implementation of meta-heuristic optimization algorithms
- Reports on applications to various real-world problems
Part of the book series: Modeling and Optimization in Science and Technologies (MOST, volume 16)
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Table of contents (26 chapters)
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Front Matter
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Algorithms
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Front Matter
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Applications
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Front Matter
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About this book
Keywords
- Ant Colony Optimization
- Analytical Hierarchical Process
- Biogeography Based Optimization
- Corridor Allocation Problems
- Design of irrigation canals
- Evolutionary algorithms
- Flower pollination optimization
- Facility layout problems
- Genetic Algorithms
- Harmony Search
- Interactive genetic algorithms
- Invasive weeds
- Leakages from sewers
- Memetic algorithms
- Nature inspired optimization
- Source identification problems
- Shuffled Frog Leaping Algorithm
- Swarm algorithms
- Unimodal and Multimodal functions
- Water cycle optimization
Editors and Affiliations
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Ecole Central de Nantes, Nantes cedex 3, France
Fouad Bennis
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Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, India
Rajib Kumar Bhattacharjya
About the editors
Professor Fouad Bennis is a Professor of Mechanical Engineering and Director of the International Relations Department at the Ecole Centrale de Nantes. He received his Engineering Master Degree (1987) and PhD in robotics (1991) from the same University. He has been awarded with the Order of Academic Palms as a Chevalier and as a Commandeur in 2007 and 2016, respectively. His research at the Laboratory of Digital Sciences of Nantes (LS2N), Ecole Centrale de Nantes, is covering Multi-Disciplinary Optimization, Product and Process design, and Digital Human Modeling. In particular, he is dealing with: analysis of mechanical tolerance, robust, fuzzy and collaborative design, and integration of virtual reality in working environments He has achieved important results in studying human performance using virtual reality. He has gained 30 years of teaching and research experience. He is author of 13 book chapters and more than 150 peer-reviewed scientific publications in anumber of renowned international journals and conference proceedings.
Prof. Rajib Kumar Bhattacharjya is a Professor in the Department of Civil Engineering at the Indian Institute of Technology Guwahati, India. He received his Bachelor's and Master’s Degree in Civil Engineering from Gauhati University, India, in 1993 and 1995, respectively, and his Ph.D. in Civil Engineering from the Indian Institute of Technology Kanpur, India, in 2004. His research interests include classical and non-classical optimization methods, groundwater management, groundwater pollution control, and management of saltwater intrusion in coastal aquifers, as well as artificial neural networks and their applications in civil engineering. He has gained more than 20 years of teaching and research experience. He has authored more than 70 peer-reviewed scientific publications in renowned international journals and conference proceedings, and has served as a co-editor of two recent books i.e. “Urban Hydrology, Watershed Management and Socio-Economic Aspects” and “Urban Ecology, Water Quality and Climate Change”, both published by Springer, in 2016 and 2018, respectively. At the Indian Institute of Technology Guwahati, he has taught courses on subsurface hydrology, hydrology, optimization methods, water resources planning and management, among others. He has also been a visiting professor at other institutes, including the Dalhousie University, in Halifax, Canada and the Ecole Centrale Nantes, in France.
Bibliographic Information
Book Title: Nature-Inspired Methods for Metaheuristics Optimization
Book Subtitle: Algorithms and Applications in Science and Engineering
Editors: Fouad Bennis, Rajib Kumar Bhattacharjya
Series Title: Modeling and Optimization in Science and Technologies
DOI: https://doi.org/10.1007/978-3-030-26458-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-26457-4Published: 18 January 2020
Softcover ISBN: 978-3-030-26460-4Published: 26 August 2021
eBook ISBN: 978-3-030-26458-1Published: 17 January 2020
Series ISSN: 2196-7326
Series E-ISSN: 2196-7334
Edition Number: 1
Number of Pages: XIII, 502
Number of Illustrations: 142 b/w illustrations, 110 illustrations in colour
Topics: Operations Research, Management Science, Computational Intelligence, Hydrology/Water Resources, Theoretical and Applied Mechanics, Engineering Thermodynamics, Heat and Mass Transfer, Industrial and Production Engineering