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View Code? Open in Web Editor NEWLocal Search and Path Finding libraries for .NET Core
License: MIT License
Local Search and Path Finding libraries for .NET Core
License: MIT License
Create parallelized implementation of Random Restart Hill Climber
Simplify the creation of Optimizer classes using factory and extensions
The greedy property should be used in successor generation rather than the algorithm execution step, and the property does not belong in the ClimberAlgorithm
Develop and implement Monte Carlo Optimizer
ParallelRandomRestartHillClimber uses the same instances of its SuccessorGenerator/SuccessorSelector across worker threads causing concurrency issues. Instead of relying on the implementation of ISuccessorGenerator to account for concurrency, use a new instance of the object for each worker thread.
Develop and implement basic hill climbing optimizer
Convert existing random restart hill climber to be a serial only implementation
Add support for user-specified pre-optimize steps for Optimizer
example use case: run validation on initial state before doing optimization to help identify edge cases
Remove the TState type parameter from EvaluableState abstract class because it is only used for the ITypedClonable interface which is not a system requirement.
Documentation should note that it would be helpful to implement a cloning feature for implementations of EvaluableState
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