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.
35 lines
1 KiB
Markdown
35 lines
1 KiB
Markdown
# Dominance-based multi-objective local search (DMLS)
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Same flow-shop problem as Lessons 2-3, but solved with local search instead
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of an evolutionary algorithm. This combines ParadisEO-MO local search
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components with the MOEO multi-objective framework.
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## Running
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From the `build/moeo/tutorial/Lesson4` directory:
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```shell
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./FlowShopDMLS @FlowShopDMLS.param
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```
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## How it works
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The program uses `moShiftNeighbor` and `moOrderNeighborhood` from
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ParadisEO-MO, with `moeoFullEvalByCopy` to adapt the full solution
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evaluator for neighbor evaluation:
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```c++
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typedef moShiftNeighbor<FlowShop, FlowShopObjectiveVector> Neighbor;
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moOrderNeighborhood<Neighbor> neighborhood((nhSize-1) * (nhSize-1));
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moeoFullEvalByCopy<Neighbor> moEval(eval);
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```
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At each iteration, DMLS explores all non-dominated solutions in the
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archive via local search moves and updates the archive with any improving
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neighbors:
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```c++
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moeoFirstImprovingNeighborhoodExplorer<Neighbor> explor(neighborhood, moEval);
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moeoUnifiedDominanceBasedLS<Neighbor> algo(checkpoint, eval, arch, explor, select);
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```
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