An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems

@article{Fan2016AnIE,
  title={An improved epsilon constraint handling method embedded in MOEA/D for constrained multi-objective optimization problems},
  author={Zhun Fan and Hui Li and Caimin Wei and Wenji Li and Han Huang and Xinye Cai and Zhaoquan Cai},
  journal={2016 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year={2016},
  pages={1-8}
}
This paper proposes an improved epsilon constraint handling method embedded in the multi-objective evolutionary algorithm based on decomposition (MOEA/D) to solve constrained multi-objective optimization problems (CMOPs). More specifically, it dynamically adjusts the epsilon level, which is a critical parameter in the epsilon constraint method, according to the feasible ratio of solutions in the current population. In order to verify the effect of the improved epsilon constraint handling method… CONTINUE READING