How to run

AMO-ACO Inference, based code here:

AMO-ACO

Change cfg in AMO-ACO.ipynb to config suitable for your Dataset you want to run.

We have 3 options: Data_100, Data_200 and Data_400.

Experimental Result

Average time for 100 node datasets is 400 seconds - 500 epochs.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
Model		Model
__pycache__		__pycache__
txt		txt
.DS_Store		.DS_Store
AMO-ACO.ipynb		AMO-ACO.ipynb
AMO_ACO_100.pt		AMO_ACO_100.pt
AMO_ACO_200.pt		AMO_ACO_200.pt
AMO_ACO_400.pt		AMO_ACO_400.pt
AMO_ACO_test.py		AMO_ACO_test.py
Ant.py		Ant.py
Ant_k_starts.py		Ant_k_starts.py
BTNT_IBSO_ACO.ipynb		BTNT_IBSO_ACO.ipynb
Check_Solution.txt		Check_Solution.txt
Cross_Exchange.py		Cross_Exchange.py
Data.txt		Data.txt
Draw.py		Draw.py
IBSO.py		IBSO.py
Injection.py		Injection.py
Load_data.py		Load_data.py
Local_search.py		Local_search.py
Normalize_data.py		Normalize_data.py
README.MD		README.MD
Report.pdf		Report.pdf
Solution.txt		Solution.txt
abc.py		abc.py
diagram.png		diagram.png
illustration.png		illustration.png
result.png		result.png
ultis.py		ultis.py