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

Carlo RAQUEL; Xin YAO

doi:10.1007/978-3-642-38416-5_4

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 Proceedings › Book Chapter › Research › peer-review

58 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 language	English
Title of host publication	Evolutionary Computation for Dynamic Optimization Problems
Editors	Shengxiang YANG, Xin YAO
Publisher	Springer
Chapter	4
Pages	85-106
Number of pages	22
ISBN (Electronic)	9783642384165
ISBN (Print)	9783642384158, 9783642448430
DOIs	https://doi.org/10.1007/978-3-642-38416-5_4
Publication status	Published - 2013
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Publisher	Springer
Volume	490
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

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10.1007/978-3-642-38416-5_4

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Dynamic multi-objective optimization: A survey of the state-of-the-art. / RAQUEL, Carlo; YAO, Xin.
Evolutionary Computation for Dynamic Optimization Problems. ed. / Shengxiang YANG; Xin YAO. Springer, 2013. p. 85-106 (Studies in Computational Intelligence; Vol. 490).

Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

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AB - 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.

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

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