Knee-Point Algorithms: Focus on the Pareto Knee Front

Code for "Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front"

W. Li, R. Wang, T. Zhang, M. Ming, and K. Li, "Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front," Information Sciences, vol. 522, pp. 193–213, 2020. DOI: 10.1016/j.ins.2020.03.007

Overview

Knee regions of the Pareto front often contain the most preferred trade-off solutions. This work reinvestigates evolutionary many-objective optimization from the perspective of the knee front, and provides the PMOP (Pareto Knee-front Many-objective Optimization Problems) test suite.

Usage

This code is developed based on PlatEMO v1.6.

Citation

@article{Li2020Knee,
  title   = {Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front},
  author  = {Li, Wenhua and Wang, Rui and Zhang, Tao and Ming, Mengjun and Li, Kaiwen},
  journal = {Information Sciences},
  volume  = {522},
  pages   = {193--213},
  year    = {2020},
  doi     = {10.1016/j.ins.2020.03.007}
}

Contact

Please contact me for more details: liwenhua1030@aliyun.com