Comments (6)
Hey @0wenwu, thank you for your comment. Multiple objective are not supported yet. However, this feature will not be difficult to implement. It is just that we haven't been in need of it so far, and I'm honestly not sure when I would have time to deal with it.
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Hey @0wenwu, thank you for your comment. Multiple objective are not supported yet. However, this feature will not be difficult to implement. It is just that we haven't been in need of it so far, and I'm honestly not sure when I would have time to deal with it.
Thank you for your reply. Indeed, I hava faced an multi-objective optimization problem considering hydro generation maximization and transimission loss minization while using PyPSA. Can you provide some suggestions to implement the feature?
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If you do not need hierarchical MO solution (meaning multiple calls to solver if implemented by linopy or using specific api from solvers supporting it) you can just blend your multiple objectives in one objective by summing them and multiplying by weight
from linopy.
If you do not need hierarchical MO solution (meaning multiple calls to solver if implemented by linopy or using specific api from solvers supporting it) you can just blend your multiple objectives in one objective by summing them and multiplying by weight
Thx, hierarchical MO solution means call solvers several times as below:
m.add_objective(obj1)
n.optimize.solve_model()
m.add_objective(obj2)
n.optimize.solve_model()
Does it work?
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@0wenwu I think @aurelije meant, packing all in one objective but with weights.
If you want to tackle the multiobjective support in linopy, I would propose to create a new class MultiObjective
which serves as a container of multiple Objective
objects. These could be stores in a dictionary under the hood. I don't have time to make a draft, but I am happy to support.
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@0wenwu I think @aurelije meant, packing all in one objective but with weights.
If you want to tackle the multiobjective support in linopy, I would propose to create a new class
MultiObjective
which serves as a container of multipleObjective
objects. These could be stores in a dictionary under the hood. I don't have time to make a draft, but I am happy to support.
Thank you for your excellent job.
Sorry for troubling you. It is my first time to use linopy, so it is hard for me to modify the source code in a short time.
As you know, the weights is difficult to determine while packing all in one objective. It is better to solve the problem in term of multi-objectives originally.
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Related Issues (20)
- show benchmark in readme
- Missing dimension when initializing variable with boundaries of lower dimensions HOT 2
- Improve documentation on overriding coordinates feature HOT 8
- Inconsistent coordinate override in arithmetic expressions HOT 3
- Docstring of `Model.solve()` has wrong return type
- `io_api="mps"` leads to memory overhead
- Error using scip
- Licensed CPLEX not detected HOT 3
- MPS IO changes with highspy >= 1.7
- Re-solving a changed model with "direct" api results in wrong model being solved HOT 1
- add_constraints lhs eats constant HOT 2
- Explore PytOptInferface for writing matrix over native C API HOT 9
- Improve workflow for releases HOT 1
- Pass parameters to the Gurobi solver HOT 1
- Docs errata: LinearExpression `expand_dims` HOT 2
- How are "0" coefficient passed to gurobi? HOT 3
- Multiple coordinates for one dimension HOT 2
- groupby sum not allowing multidimensional grouping per default HOT 6
- Creating variable for each linear expression HOT 4
- `xarray` DeprecationWarning: Deleting a single level of a MultiIndex is deprecated. Previously
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