PlatEMO
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BIMK
Evolutionary multi-objective optimization platform
问题1：  KrigingSelect的MSE好像没有和PopObj对应上, PopObj在[PopObj(i,j),~,MSE(i,j)] = predictor(PopDec(i,:),Model{j});还有一次更新的步骤，但是MSE就没有。 问题2  在UpdateArchive那里，Next(i)在循环中被赋值以后好像没有对A1进行更新
function P=PF(obj, N) P=[ ]; end In test problems. By letting P empty. Errors of Index are Thrown. How to avoid reference front on Graph and calculations.
The hyper volume calculation for test problem with M>3 yields NaNs. This probably has to do with Monte Carlo computation for the HV? I tried it with Two_Arch2 and RVEA...
MPSOD C. Dai, Y. Wang, and M. Ye, A new multi-objective particle swarm optimization algorithm based on decomposition, Information Sciences, 2015, 325: 541-557. % Note that here the value of...
Hello, First thanks for providing this great tool to EMO researches and practitioners. I'm using PlatEMO to benchmark algorithms on a real-world many-objective problem (and may submit a pull request...
It will be great to have some basic implementation of single objective GA/ES as then PlatEMO can be a one stop solution for evolutionary optimization!
**CMaOPs are needed ** At present, most of the constraint problems on platEMO are CMOP. As DAS-CMOP has been updated, I sincerely hope that platEMO can update DAS-CMaOPs.
Metrics:
It could be possible to use the variables in Search Space on metrics functions instead of Pareto Front only.
receive parameter settings from users for metrics function. For preference-based evolutionary multiobjective optimization, it is necessary to receive parameter settings from users for metric calculation, like R-HV, R-IGD from [1]....
