Soft computing for sustainability science / Carlos Cruz Corona, editor.
Cruz-Corona, Carlos, 1963- editor.
2018
QA76.9.S63
Available Online

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Title Soft computing for sustainability science / Carlos Cruz Corona, editor.
ISBN 9783319623597 (electronic book)
3319623591 (electronic book)
9783319623580
3319623583
DOI https://doi.org/10.1007/978-3-319-62359-7
Published Cham : Springer, [2018].
Language English
Description 1 online resource (xvi, 348 pages) : illustrations.
Item Number 10.1007/978-3-319-62359-7 doi
Call Number QA76.9.S63
Dewey Decimal Classification 006.3
Summary This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability. .
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 21, 2017).
Added Author Cruz-Corona, Carlos, 1963- editor.
Series Studies in fuzziness and soft computing ; v. 358. 1434-9922
Available in Other Form Print version: 3319623583
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