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| author | Tomaž Vajngerl <tomaz.vajngerl@collabora.co.uk> | 2017-11-06 00:54:25 +0100 |
|---|---|---|
| committer | Tomaž Vajngerl <quikee@gmail.com> | 2017-11-18 01:16:20 +0100 |
| commit | 08404bbb90a8978b70698ef057a4a46ad4fceae3 (patch) | |
| tree | 035b124578957f69e31966263002e1751b1d45f0 /sccomp/Library_solver.mk | |
| parent | 257f62bb18aa745b50414b955ab285a04a7cfa41 (diff) | |
Swarm based (uses PSO or DE) experimental non-linear solver
This is a new, simple non-linear solver that uses a swarm
(population) to do global optimization. It uses two algoritms -
Particle Swarm Optimization (PSO) or Differential Evolution (DE)
to find a (non-optimal) solution.
It is experimental as not all functions are implemented and it
needs a lot more testing so that it performs well.
Change-Id: If55dad7eda17394851a9d178ad892de771eca7c9
Reviewed-on: https://gerrit.libreoffice.org/44382
Tested-by: Jenkins <ci@libreoffice.org>
Reviewed-by: Tomaž Vajngerl <quikee@gmail.com>
Diffstat (limited to 'sccomp/Library_solver.mk')
| -rw-r--r-- | sccomp/Library_solver.mk | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/sccomp/Library_solver.mk b/sccomp/Library_solver.mk index 3339c0ed70df..e23ecac7a5bb 100644 --- a/sccomp/Library_solver.mk +++ b/sccomp/Library_solver.mk @@ -22,6 +22,8 @@ $(eval $(call gb_Library_Library,solver)) $(if $(ENABLE_COINMP),$(eval $(call gb_Library_set_componentfile,solver,sccomp/source/solver/coinmpsolver))) $(if $(ENABLE_LPSOLVE),$(eval $(call gb_Library_set_componentfile,solver,sccomp/source/solver/lpsolvesolver))) +$(eval $(call gb_Library_set_componentfile,solver,sccomp/source/solver/swarmsolver)) + $(eval $(call gb_Library_use_sdk_api,solver)) $(eval $(call gb_Library_set_include,solver,\ @@ -45,6 +47,7 @@ $(eval $(call gb_Library_use_externals,solver,\ )) $(eval $(call gb_Library_add_exception_objects,solver,\ + sccomp/source/solver/SwarmSolver \ sccomp/source/solver/SolverComponent \ $(if $(ENABLE_COINMP), sccomp/source/solver/CoinMPSolver) \ $(if $(ENABLE_LPSOLVE), sccomp/source/solver/LpsolveSolver) \ |