Updating solver __solve function for MOO #787
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The _loss function accommodates the MultiObjectiveOptimizationFunction in the __solve method.
Updated loss function in __solve of OptimizationEvolutionary.jl
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Any reason for raising this PR, it would be great to know what kind of bug you're trying to fix. |
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@Abhinavcode13 it's a PR, not an issue. The aim is to add support for multiobjective optimization with Evolutionary.jl (for now) |
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Thanks for pointing it out, but don't it already support one? |
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No |
Set the traits for NSGA2 explicitly
Updated the __loss function to handle MOOFunction results.
Added the struct to use BB0_borg_moea.
Exported the new borg_moea struct.
Corrected the loss function check for MultiObjectiveOptimizationFunction.
Added tests for the Multi-Objective Optimization tests to the test set.
Added Multi-Objective Optimization tests to the test set.
Removed NaNMath, as it wasn't needed.
Added regression tests to the tests for MOO.
Added regression tests for MOO.
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Evolutionary seems to be failing, it might be a random number seeding issue, when you ran it locally did you run the entire script in the same order? |
The regression tests have been updated to solve errors.
The optimize function call updated to handle multi-objective problems.
Added the build_solution alternative call for MOO tests.
Added objective tests for the testset.
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Great work @ParasPuneetSingh! 🎉 |
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