EPOS

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models

• This is an open-source code of EPOS implemented in MATLAB.

• All codes are our originals and implemented to run on PlatEMO.

How to run

1. Download all the files of EPOS and PlatEMO.

2. Add the EPOS directory in this repository to the Algorithms/Single-objective optimization directory.

3. Run platemo.m and select EPOS. See the documents of PlatEMO for more details.

Copyright

The copyright of the EPOS codes belongs to the authors. You are free to use the codes for research purposes. Please refer to the following article;

Kei Nishihara, Yaochu Jin, and Masaya Nakata, “An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models,” in IEEE Trans. Cybern., Early Access June 2026.

@article{nishihara2026ensemble,
  title      = "{An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models}",
  author     = "Nishihara, Kei and Jin, Yaochu and Nakata, Masaya",
  journal    = "IEEE Trans. Cybern.",
  volume     =  XX,
  number     =  X,
  pages      = "Early Access",
  month      =  jun,
  year       =  2026,
  doi        = "10.1109/TCYB.2026.3702665"
}