Soft Computing for Sustainability Science
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Beschreibung
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.
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.
Reports on the applications of soft computing methodologies to environmental issues Presents novel solutions to a wide range of real-world problems, with a special focus on sustainability Describes a set of validated methods for decision-making under conditions of uncertainty and little information Includes supplementary material: sn.pub/extras
Autor*in
Carlos Cruz Corona
Themen in »Soft Computing for Sustainability Science«
Global Temperature Rise Intelligent Systems for Sustainable Development Environmental Impact Assessment Energy Efficiency Multimodal Transport Systems Sustainable Shipping Covering Location Problems Multivariate Analysis of Spectroscopic Data Multi-instance Clustering Consumer Clustering Problem Fuzzy Outranking Methods Preference Disaggregation Social Impact Investment Determining Watersheds Image Segmentation