Dynamic multi-objective optimization: A survey of the state-of-the-art

Carlo RAQUEL*, Xin YAO

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterResearchpeer-review

54 Citations (Scopus)


Many optimization problems involve multiple objectives, constraints and parameters that change over time. These problems are called dynamic multiobjective optimization problems (DMOPs) and have recently attracted a lot of research. In this chapter, we provide a survey of the state-of-the-art on the field of dynamic multi-objective optimization with regards to the definition and classification of DMOPS, test problems, performance measures and optimization approaches. We provide a comprehensive definition of DMOPs and identify gaps, challenges and future works in dynamic multi-objective optimization. © 2013 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Title of host publicationEvolutionary Computation for Dynamic Optimization Problems
EditorsShengxiang YANG, Xin YAO
Number of pages22
ISBN (Electronic)9783642384165
ISBN (Print)9783642384158, 9783642448430
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503


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  • Evolutionary Computation for Dynamic Optimization Problems

    YANG, S. (Editor) & YAO, X. (Editor), 2013, Heidelberg: Springer. 470 p. (Studies in Computational Intelligence; vol. 490)

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