yd-kwon / matnet Goto Github PK
View Code? Open in Web Editor NEWcodes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
License: MIT License
codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
License: MIT License
How I modify the code for symmetric TSP
If I met the Multiple data matrices, what should I do, May I do like this : scores = torch.stack((dot_product_score, cost_mat1, cost_mat2, cost_mat3 ), dim=4).
There may also be papers that I didn't fully understand, forgive me for being a newbie
In your paper, you mentioned that for n=50/100 large scale data, you adopted a multi-GPU implementation, I wonder if it is possible to provide a multi-GPU version of the code
What can i do with dataset like tsp with time windown thks
Sorry because i dont understand the code and I need your help ! I have two question
Have you ever tried to solve the dynamic vehicle scheduling problem with this model?
I have a question about job scheduling problem. My my problem is very complicated not like job shop so what if i change the problems define as meta heuristic algorithms as sample for model ?
max_aug_pomo_reward, _ = max_pomo_reward.max(dim=0) # get best results from augmentation
# shape: (batch,)
aug_score = -max_aug_pomo_reward.float().mean() # negative sign to make positive value
I want to ask why you use .mean() but we want to get the best result
May I ask if the number of machines in each stage of the FFSP problem needs to be consistent? If it can be a heterogeneous quantity, how should pomo_size be set?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.