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MOO_SC#200

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felixheptner wants to merge 72 commits intoheidmic:masterfrom
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MOO_SC#200
felixheptner wants to merge 72 commits intoheidmic:masterfrom
felixheptner:master

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Submission of the code for my masters thesis integrating multi-objective optimization into the solution composition of SupRB.

felixheptner and others added 30 commits September 23, 2025 12:53
Add MOOSolutionComposition ABC.
Add method to get pareto front.
Added Das-Dennis reference point generation, an association function and the
niched selection operator from U-NSGA-III.
* Add black config to pyproject.toml

* Add black to README
The worst points is now not taken from the fitness function but instead
from the worst observed objective values in each dimension.
*Remove Suprb last_sc factor

*Add Wrapper Class that allows to switch SC Algorithms between suprb
iterations.

*Adapt MOO Logger to only Log HV and Spread if the Paretofront has a
cardinality greater than one.
felixheptner and others added 30 commits September 23, 2025 12:58
Fixed a bug in the hyperplane normaliser, where the two extremepoints
were always the same and triggered fallback normalization.
*Implement early stopping
*Retain best pareto front
*Fixed critical bug in spea2 that always
caused termination after one iteration.
* Implement Hypervolume based early stopping in MOSC

*Implement early stopping
*Retain best pareto front
*Fixed critical bug in spea2 that always
caused termination after one iteration.

* Fix formatting

* Fix Spea2 pareto front creation

*Fixed a bug where spea2 generated the pareto front incorretly
*Reverted back to output always the latest and not the best pareto front
as all moo algorithms should not become considerably worse because
of elitism
* Implement Hypervolume based early stopping in MOSC

*Implement early stopping
*Retain best pareto front
*Fixed critical bug in spea2 that always
caused termination after one iteration.

* Fix formatting

* Fix Spea2 pareto front creation

*Fixed a bug where spea2 generated the pareto front incorretly
*Reverted back to output always the latest and not the best pareto front
as all moo algorithms should not become considerably worse because
of elitism

* Fix pareto_front _pareto_front confusion
* Fix Two stage logging for two SOO SCs

* Make algorithm_2 and switch_iteration optional
Updated DOI badge placeholders in README.md
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2 participants