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kglsm's Issues

Add multi-state SLS

  • ILS with Restart
  • Memetic Algorithm
  • Random Iterative Improvement

Add those both as pre-built exploitable classes and as the code in the notebooks

Cost function diffs

Allow for diffs in cost function: instead of calculating a cost function itself, calculate difference in cost between two solutions. Might decrease constant computation term, which is important for large instances of TSP specifically

DSL

DSL for defining GLSMs outside the code. Potential fallback to JSON/YAML

Dokka

  • Add KDoc/Dokka
  • Host at jitpack

Simulated Annealing

Different temperature schedules

  • Linear
  • Multiplicative
  • Slow
    - [ ] Multiple steps -- same temperature

Cannot create sequential LSM with single state

sequentialStateMachine<Double, BasicSolution<Double>> {
            step {
                name = "RandomWalk"
                strategy = RandomWalkStrategy(true)
            }
            terminationPredicate = FixedStepsPredicate(10)
        }

raises an exception

Exception in thread "main" java.lang.IllegalStateException: Required value was null.
	at space.d_lowl.kglsm.sls.StateMachineTransition$Builder.build(StateMachine.kt:36)
	at space.d_lowl.kglsm.sls.SequentialStateMachineBuilder.build(SequentialStateMachineBuilder.kt:109)

Simplify Generic Signatures

Current generic signatures are really cumbersome pretty much everywhere. We want as much of automatic inference as possible.

TSP Model Problem

  • Permutation search space
  • 2-exchange neighbourhood
  • TSP cost function
  • Loading from file -- TSPlib

Optionals:

  • k-exchange neighbourhood
  • recombination and mutation operators for permutation search spaces

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