Overview
- Uses recently developed intelligent techniques such as genetic algorithms, neural networks, ant colony optimization, swarm optimization, Tabu search, fuzzy sets etc.
- Focuses on the latest developments and problems in sustainable and green environmental management, renewable energy resources and hybrid systems
- Gathers recent research, studies and solutions
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 113)
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Table of contents (19 chapters)
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Front Matter
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Waste Management
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Front Matter
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Environmental Economics
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Front Matter
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Keywords
About this book
This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligence Systems in Environmental Management: Theory and Applications
Editors: Cengiz Kahraman, İrem Uçal Sari
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-42993-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-42992-2Published: 12 September 2016
Softcover ISBN: 978-3-319-82712-4Published: 14 June 2018
eBook ISBN: 978-3-319-42993-9Published: 03 September 2016
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XX, 468
Number of Illustrations: 26 b/w illustrations, 63 illustrations in colour
Topics: Computational Intelligence, Environmental Management, Renewable and Green Energy, Artificial Intelligence