Soft Computing for Sustainability Science (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 358
Release date:	July 2017
First published:	2018
Editors:	Carlos Cruz-Corona
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	348
Edition:	1st ed. 2018
ISBN-13:	978-3-319-62358-0
Categories:	Books > Business & Economics > Business & management > Business negotiation Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Earth & environment > The environment > Applied ecology > General Books > Earth & environment > The environment > Environmental economics > Sustainability Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-62358-3
Barcode:	9783319623580

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