Comments (1)
Changelog:
Generalised stopping criteria. Whereas previously only a maximum number of iterations was supported, you can now also use a maximum runtime.
Stopping criteria are available in alns.stop
, and should be passed as the stop
argument to ALNS.iterate
. The stop
argument replaces iterations
.
Take the following example, using 10_000 iterations:
alns.iterate(..., iterations=10_000)
You would now write this as
from alns.stop import MaxIterations
alns.iterate(..., stop=MaxIterations(10_000))
In addition, alns.stop.MaxRuntime
lets you set a maximum runtime (in seconds). You can also write your own stopping criterion, by inheriting from alns.stop.StoppingCriterion
.
With the addition of stopping criteria, the old usage of the criteria
module for acceptance criteria has become imprecise. This is why alns.criteria
is now accessible as alns.accept
. To simplify the module names further, alns.weight_schemes
has been renamed to alns.weights
.
ALNS now has a code style: black! The style is now consistent, and will be enforced through the CI pipeline.
Example notebooks and documentation have been updated to the new usage.
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Related Issues (20)
- Some quetions for using ALNS HOT 5
- Adaptive simulated annealing temperature and step-size HOT 4
- what's your alns.weights HOT 1
- Update docs
- Tasklist for next release HOT 2
- About other VRP destroy and repair operators HOT 3
- Bug in `examples/resource_constrained_project_scheduling_problem.ipynb:random_insert`?
- Circle bin packing with ALNS HOT 21
- Run example notebooks in CI HOT 1
- Deprecate AlphaUCB?
- How to solve vehicle routing problem with multiple capacities? HOT 5
- Documentation improvements HOT 2
- RCPSP示例中的“instance = ProblemData.read_instance('data/j9041_6.sm')”的数据在哪里 HOT 1
- Where is the data for "instance = ProblemData.read_instance('data/j9041_6.sm')" in the RCPSP example HOT 3
- Run w/o MABwiser in the CI
- Rename RandomWalk and WorseAccept? HOT 2
- Replace `RandomState` with `Generator` HOT 2
- Python 3.12 release
- Require help in understanding and coding the ALNS algorithm using alns package HOT 2
- ALNS parameter optimization HOT 9
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