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Evolutionary Computing and Mobile Sustainable Networks - Proceedings of ICECMSN 2021 (1st ed. 2022) Loot Price: R4,900
Discovery Miles 49 000
Evolutionary Computing and Mobile Sustainable Networks - Proceedings of ICECMSN 2021 (1st ed. 2022): V. Suma, Xavier Fernando,...

Evolutionary Computing and Mobile Sustainable Networks - Proceedings of ICECMSN 2021 (1st ed. 2022)

V. Suma, Xavier Fernando, Ke-Lin Du, Haoxiang Wang

Series: Lecture Notes on Data Engineering and Communications Technologies, 116

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Loot Price R4,900 Discovery Miles 49 000 | Repayment Terms: R459 pm x 12*

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This book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes on Data Engineering and Communications Technologies, 116
Release date: March 2023
First published: 2022
Editors: V. Suma • Xavier Fernando • Ke-Lin Du • Haoxiang Wang
Dimensions: 235 x 155mm (L x W)
Pages: 1065
Edition: 1st ed. 2022
ISBN-13: 978-981-16-9607-7
Categories: Books
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LSN: 981-16-9607-1
Barcode: 9789811696077

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