AD-KEMTA

This repo contains the codebase of an surrogate-assisted evolutionary algorithm for knee solutions in many-objective optimization problems.

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Setup

git clone https://github.com/alphetjf/AD-KEMTA.git
cd AD-KEMTA
pip install -r requirements.txt

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Guidelines

• main_args.py: The main program file running in the terminal has two running modes: parallel and non-parallel(algorithm independently executed 30 times):

(1) parallel

python main_args.py --totalRuns 30 --ifParallel --parallel_num 10

(2) non-parallel:

python main_args.py --totalRuns 30 --ifParallel --parallel_num 10

More arguements can be seen by:

python main_args.py -h

• algorithm/AD-KEMTA.py: Our algorithm.

• PortfoloProblem.py: The real application problem, containing 4 algorithms (MOEA/D, NSGA2, NSGA3, AD-KEMTA).

• expSets.py: Experimental setup.

• printResult.py: Print the algorithm results to an Excel file.

• Benchmark: The folder contains test problems.

• utils/KPI.py: Related knee point identification techniques. ...

Citation

Please cite the following if you use this code or parts of it:

@article{tang2025knee,
    title={Knee-oriented expensive many-objective optimization via aggregation-dominance: A multi-task perspective},
    author={Tang, Junfeng and Wang, Handing and Jin, Yaochu},
    journal={Swarm and Evolutionary Computation},
    volume={92},
    pages={101813},
    year={2025},
    publisher={Elsevier}
}