For running PlatEmo's SMS-EMOA with DBMOPP_generator run platemo('algorithm',@SMSEMOA,'problem',@DBMOPP);.
After running main, you can use zeros(size(theta,2),1); for iterations = 1:size(theta,3); HVS(iterations) = PD(objval(N*(iterations-1)+1:N*iterations,:),pf); end; in command window to test various metrics. PD can be replaced with IGD, GD, PD, HV, DeltaP. (DeltaP is avg Hausdorff)
The Copyright of the PlatEMO belongs to the BIMK group. You are free to use the PlatEMO for research purposes. All publications which use this platform or any code in the platform should acknowledge the use of "PlatEMO" and reference "Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum], IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87".
@article{PlatEMO,
title={{PlatEMO}: A {MATLAB} platform for evolutionary multi-objective optimization},
author={Tian, Ye and Cheng, Ran and Zhang, Xingyi and Jin, Yaochu},
journal={IEEE Computational Intelligence Magazine},
volume={12},
number={4},
pages={73--87},
year={2017},
}
DBMOPP was taken from the following source:
- https://github.com/fieldsend/DBMOPP_generator
- Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, and Kaisa Miettinen. 2019. A Feature Rich Distance-Based Many-Objective Visualisable Test Problem Generator. In Genetic and Evolutionary Computation Conference (GECCO ’19), July 13–17, 2019, Prague, Czech Republic. ACM, New York