Multi-objective green optimization for energy cellular networks using Particle Swarm Optimization algorithm-Reference-Cited by-同舟云学术

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Multi-objective green optimization for energy cellular networks using Particle Swarm Optimization algorithm

Published:2022-03-03 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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Author:

Chehlafi Ayoub¹,Gabli Mohammed²,Dahmani Soufiane³

Affiliation:

1. University Mohammed Premier,LARI Laboratory, Faculty of Science (FSO),Oujda,Morocco

2. University Mohammed Premier,Faculty of Science (FSO),Dept. of Computer Science,Oujda,Morocco

3. University Mohammed Premier,LANO Laboratory, Faculty of Science (FSO),Oujda,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9737723/9737738/09738111.pdf?arnumber=9738111

Reference11 articles.

1. Optimization Of Multi-Objective and Green LTE RNP Problem

2. A green fuzzy multi-objective approach to the RNP problem for LTE networks;dahmani;Progress in Artificial Intelligence,2021

3. A Genetic Algorithm Approach for an Equitable Treatment of Objective Functions in Multi-objective Optimization Problems;gabli;IAENG International Journal of Computer Science,2014

4. Traffic-Aware Base Station Sleeping Control and Power Matching for Energy-Delay Tradeoffs in Green Cellular Networks

5. Planning UMTS Base Station Location Using Genetic Algorithm with a Dynamic Trade-Off Parameter

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