| Class | Description |
|---|---|
| BasicParallelSearch<SolutionType extends Solution> |
A basic parallel search runs several (heterogeneous) searches in parallel and keeps track of the best solution found
by any of these searches.
|
| MetropolisSearch<SolutionType extends Solution> |
Metropolis search (fixed temperature).
|
| ParallelTempering<SolutionType extends Solution> |
The parallel tempering algorithm uses several Metropolis search replicas with different
temperatures in a given range, where good solutions are pushed towards cool replicas for
the sake of convergence, while bad solutions are pushed towards hot replicas in an attempt
to find further improvements.
|
| PipedLocalSearch<SolutionType extends Solution> |
A piped local search consists of a composition of other local search \(S_1, ..., S_n\).
|
| RandomDescent<SolutionType extends Solution> |
Basic random descent algorithm.
|
| RandomSearch<SolutionType extends Solution> |
The random search algorithm iteratively samples a random solution and checks
whether a new best solution has been found, in every search step.
|
| SteepestDescent<SolutionType extends Solution> |
Steepest descent algorithm, also referred to as hill climbing.
|
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