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Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
Complex & Intelligent Systems ( IF 5.0 ) Pub Date : 2019-06-19 , DOI: 10.1007/s40747-019-0113-4
Carlos A. Coello Coello , Silvia González Brambila , Josué Figueroa Gamboa , Ma Guadalupe Castillo Tapia , Raquel Hernández Gómez

Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years.



中文翻译:

进化多目标优化:开放的研究领域和未来的挑战

自1980年代中期以来,进化多目标优化一直是研究领域,并且在最近20年中经历了非常重要的活动。然而,尽管该领域已经成熟,但仍然存在一些重要的挑战。本文对其中一些进行了简短描述,特别侧重于开放研究领域,而不是特定的研究主题或问题。本文的主要目的是激励研究人员和学生在这些领域开展研究,因为这将有助于在未来几年内保持该学科的活跃性。

更新日期:2019-06-19
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