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Soft Computing for Sustainability Science

Soft Computing for Sustainability Science

Carlos Cruz Corona

47,49 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2017
Materia
Gestión y técnicas de gestión
ISBN:
9783319623603
47,49 €
IVA incluido
Disponible

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Sobre IBD

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.  

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Otros libros del autor

  • Soft Computing for Sustainability Science
    Carlos Cruz Corona
    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 ...
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  • Soft Computing for Sustainability Science
    Carlos Cruz Corona
    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 ...