Multi-Objective Evolutionary Algorithm for Networks with Heterogeneous Loads

MOEA-Net$_{HL}$ for short

The relevant codes of our work "Enhancing Robustness and Transmission Performance of Heterogeneous Complex Networks via Multi-Objective Optimization".

Published in: IEEE Systems Journal ( Volume: 15, Issue: 4, Dec. 2021)

Requirements

• python 3.7
• networkx
• pandas
• numpy

Run the demo

• For BA scale free networks' optimization.

python CN_Run_MOEA_SFCN.py

• For real networks' optimization.

python CN_Run_Real.py

Code Description

• CN_Basic.py: implements the basic functions of host-router like communication networks.
• CN_Run_MOEA_SFCN.py: implements the optimization process of communication networks.
• CN_Run_Real.py: implements the optimization process of realistic communication networks.

Data Description

• /data/USAirLines.txt: topology of US air lines
• /data/as19981229.txt: topology of AS-level network (AS for Autonomous Systems)

Dataset Ref

• US Air lines: http://vlado.fmf.uni-lj.si/pub/networks/data/
• Autonomous Systems : graphs of the internet: http://snap.stanford.edu/data/