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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

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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