Artificial Intelligence and Evolutionary Computations in Engineering Systems Proceedings of ICAIECES 2016

Artificial Intelligence and Evolutionary Computations in Engineering Systems Proceedings of ICAIECES 2016 / edited by Subhransu Sekhar Dash, K. Vijayakumar, Bijaya Ketan Panigrahi, Swagatam Das.

The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India. This conference is an international for...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dash, Subhransu Sekhar (Editor), Vijayakumar, K. (Editor), Panigrahi, Bijaya Ketan (Editor), Das, Swagatam (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Advances in Intelligent Systems and Computing, 517
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Algorithms.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India. This conference is an international forum for industry professionals and researchers to deliberate and state their research findings, discuss the latest advancements and explore the future directions in the emerging areas of engineering and technology. The book presents original work and novel ideas, information, techniques and applications in the field of communication, computing and power technologies.
Physical Description:XV, 863 p. 445 illus., 306 illus. in color. online resource.
ISBN:9789811031748
ISSN:2194-5357 ;
DOI:10.1007/978-981-10-3174-8

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