Editors:
- Presents recent research on Heuristics for Optimization and Learning
- Gathers contributions in optimization technique for production decision, general development for optimization and computing methods, and wider spread applications
- Edited results of the 7th International Conference on Metaheuristics and Nature Inspired Computing META’18, held at Marrakech, Morocco October 27–31, 2018
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 906)
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Table of contents (28 chapters)
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Front Matter
About this book
This book is a new contribution aiming to give some last research findings in the field of optimization and computing. This work is in the same field target than our two previous books published: “Recent Developments in Metaheuristics” and “Metaheuristics for Production Systems”, books in Springer Series in Operations Research/Computer Science Interfaces.
The challenge with this work is to gather the main contribution in three fields, optimization technique for production decision, general development for optimization and computing method and wider spread applications.
The number of researches dealing with decision maker tool and optimization method grows very quickly these last years and in a large number of fields. We may be able to read nice and worthy works from research developed in chemical, mechanical, computing, automotive and many other fields.
Editors and Affiliations
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Laboratory of Logistics and Optimization of Industrial Systems (LOSI), University of Technology of Troyes (UTT), Troyes Cedex, France
Farouk Yalaoui
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Industrial System Optimization Laboratory, University of Technology of Troyes (UTT), Troyes Cedex, France
Lionel Amodeo
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CRISTAL UMR CNRS 9189 & INRIA Lille Nord Europe, Parc Scientifique de la Haute Borne, Polytech'Lille - Univrsité of Lille, Villeneuve d'Ascq, France
El-Ghazali Talbi
Bibliographic Information
Book Title: Heuristics for Optimization and Learning
Editors: Farouk Yalaoui, Lionel Amodeo, El-Ghazali Talbi
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-58930-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-58929-5Published: 16 December 2020
Softcover ISBN: 978-3-030-58932-5Published: 17 December 2021
eBook ISBN: 978-3-030-58930-1Published: 15 December 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 442
Number of Illustrations: 71 b/w illustrations, 97 illustrations in colour
Topics: Computational Intelligence, Optimization, Machine Learning