Quick Description

Programmer:shipit:: Zakaria Abdelmoiz DAHI.

About: This repositiory implements the fully quantum, quantum-inspired and simulated evolutionary algorithm devised and studied in [1] that solves the users' mobility tracking in cellular networks.

[1] Z.A DAHI, E. Alba, Metaheuristics on quantum computers: Inspiration, simulation and real execution, Future Generation Computer Systems, Volume 130, 2022, Pages 164-180, ISSN 0167-739X, https://doi.org/10.1016/j.future.2021.12.015.

How 📗

• Depending on what you want to study or used, you can navigate to the folder TD-EA for running the devised algorithm or SOTA for running state-of-the-art algorithms.
• Tehn, you just need to run the Matlab script main.m.

Folders Hiearchy 📂

• Proposal: contains the code of the devised approach.
• SOTA: contains the code of Population-based Incremental Learning.
• Benchmark: contains the details of the 15 cells network.
• Results: Once executed the results are stored in excel files with name Network_a_bxc, where a represent the ID of networks of such shape, b and c represent the number of cells in the width and height of the network.

Demo 🎥

• Please refer to the original paper HERE for more detailed results and discussions.

Notes:

• It is prefered that you use Matlab R2014a to run the code as it is.
• If you use newer versions of Matlab, you will probably need to update some obselete functions such as Mat2Cell.