-
Notifications
You must be signed in to change notification settings - Fork 4
feat: add flowshop model #84
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Nice!
I'm not sure I like the shadow variable, which recomputes the entire sequence every time and therefore is completely non-incremental. But we can discuss that later.
For now, I think the most important bit is to get the other set of datasets imported and benchmarked.
src/main/java/ai/timefold/solver/benchmarks/competitive/flowshop/FlowShopConfiguration.java
Outdated
Show resolved
Hide resolved
src/main/java/ai/timefold/solver/benchmarks/competitive/flowshop/FlowShopDataset.java
Show resolved
Hide resolved
src/main/java/ai/timefold/solver/benchmarks/competitive/flowshop/FlowShopConfiguration.java
Outdated
Show resolved
Hide resolved
src/main/java/ai/timefold/solver/benchmarks/competitive/flowshop/FlowShopConfiguration.java
Outdated
Show resolved
Hide resolved
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM after comments resolved.
No description provided.