g-soto / HHNN Public

Neural network applied as hyper-heuristics to the knaspack problem.

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Name		Name	Last commit message	Last commit date
Latest commit History 49 Commits
HERMES		HERMES
HH		HH
instances		instances
model128x2.tf		model128x2.tf
model33.tf		model33.tf
model36.tf		model36.tf
model512x1.tf		model512x1.tf
model83.tf		model83.tf
model_new.tf		model_new.tf
model_new0.2.tf		model_new0.2.tf
model_new1k.tf		model_new1k.tf
model_new3k.tf		model_new3k.tf
model_new_work.tf		model_new_work.tf
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt
resultA.dat		resultA.dat
resultB.dat		resultB.dat
runmeH.py		runmeH.py
statics.py		statics.py