HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework

@inproceedings{Hu2003HEMOAS,
  title={HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework},
  author={Jianjun Hu and Kisung Seo and Zhun Fan and Ronald C. Rosenberg and Erik D. Goodman},
  booktitle={GECCO},
  year={2003}
}
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applie d to real-world problems. Their highly multi-modal and discrete search space of ten makes the required performance out of reach to current MOEAs. Examining the fundamental cause of premature convergence in evolutionary search… CONTINUE READING