Comments (3)
Currently we only use the Kirkpatrick et al. (1982) method, which is perhaps the most commonly used simulated annealing approach.
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This will also require moving most of the current (SA) criterion out of the ALNS class, which seems proper.
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I've found SA with reheating to be a very successful method myself. Right now we do not support reheating, but it is worthwhile to investigate SA as a more general acceptance framework than just the Kirkpatrick implementation.
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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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