c1a44fd2a6
Add README.md files for moeo/tutorial/Lesson{1-4}, smp/tutorial/Lesson{1-4},
and mo/tutorial/Lesson9 — these tutorials had no documentation.
Fix return 1 → return 0 in 28 tutorial main() functions across mo/ and
smp/ that unconditionally returned failure status.
1 KiB
1 KiB
Dominance-based multi-objective local search (DMLS)
Same flow-shop problem as Lessons 2-3, but solved with local search instead of an evolutionary algorithm. This combines ParadisEO-MO local search components with the MOEO multi-objective framework.
Running
From the build/moeo/tutorial/Lesson4 directory:
./FlowShopDMLS @FlowShopDMLS.param
How it works
The program uses moShiftNeighbor and moOrderNeighborhood from
ParadisEO-MO, with moeoFullEvalByCopy to adapt the full solution
evaluator for neighbor evaluation:
typedef moShiftNeighbor<FlowShop, FlowShopObjectiveVector> Neighbor;
moOrderNeighborhood<Neighbor> neighborhood((nhSize-1) * (nhSize-1));
moeoFullEvalByCopy<Neighbor> moEval(eval);
At each iteration, DMLS explores all non-dominated solutions in the archive via local search moves and updates the archive with any improving neighbors:
moeoFirstImprovingNeighborhoodExplorer<Neighbor> explor(neighborhood, moEval);
moeoUnifiedDominanceBasedLS<Neighbor> algo(checkpoint, eval, arch, explor, select);