Adaptive multi-objective differential evolution with stochastic coding strategy

@inproceedings{Zhong2011AdaptiveMD,
  title={Adaptive multi-objective differential evolution with stochastic coding strategy},
  author={Jinghui Zhong and Jun Zhang},
  booktitle={GECCO},
  year={2011}
}
Many real-world applications can be modeled as multi-objective optimization problems (MOPs). Applying differential evolution (DE) to MOPs is a promising research topic and has drawn a lot of attention in recent years. To search high-quality solutions for MOPs, this paper presents a robust adaptive DE (termed AS-MODE) with following two features. First, a stochastic coding strategy is used to improve the solution quality. This coding strategy represents each individual by a stochastic region… CONTINUE READING
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