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)

Abstract

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
PublisherSpringer
Chapter4
Pages85-106
Number of pages22
ISBN (Electronic)9783642384165
ISBN (Print)9783642384158, 9783642448430
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume490
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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