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General Information
    • ISSN: 1793-8244
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2018 Vol.6(1): 55-60 ISSN: 1793-8244
DOI: 10.18178/JACN.2018.6.1.254

Evolutionary Algorithms for QoE

Seyed Mahmood Hashemi
Abstract—Quality of Experience (QoE) is an important parameter in communication ways. The importance of QoE becomes more when we use Long Term Environment (LTE) to transmit data packets. However, there are some methods to measure QoE, the complexity of common methods is obstacle to use popularity. In this paper, we present an approach to measure QoE in LTE. Presented approach is usability as precise. We use three optimization algorithms in our approach: 1-intlligent automata 2-simulated annealing 3-monarchy butterfly optimization. Although the original release of used algorithms are single-objective, we improve them to multi-objective. We compare the performance of algorithms.

Index Terms—Quality of experience, long term environment, multi-objective optimization.

Seyed Mahmood Hashemi is with Beijing University of Technology, China (e-mail: hashemi2138@yahoo.com).


Cite:Seyed Mahmood Hashemi, "Evolutionary Algorithms for QoE," Journal of Advances in Computer Networks vol. 6, no. 1, pp. 55-60, 2018.

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