Evolutionary dynamic optimization: Challenges and perspectives

Philipp ROHLFSHAGEN*, Xin YAO

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

The field of evolutionary dynamic optimization is concerned with the study and application of evolutionary algorithms to dynamic optimization problems. In this chapter we highlight some of the challenges associated with the time-variant nature of these problems.We focus particularly on the different problem definitions that have been proposed, the modelling of dynamic optimization problems in terms of benchmark suites and the way the performance of an algorithm is assessed. Amid significant developments in the last decade, several practitioners have highlighted shortcomings with all of these fundamental issues. In this chapter we review the work done in each of these areas, evaluate the criticism and subsequently identify some perspectives for the future of the field. © 2013 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Title of host publicationEvolutionary Computation for Dynamic Optimization Problems
EditorsShengxiang YANG, Xin YAO
PublisherSpringer
Chapter3
Pages65-84
Number of pages20
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

Fingerprint

Dive into the research topics of 'Evolutionary dynamic optimization: Challenges and perspectives'. Together they form a unique fingerprint.
  • Evolutionary Computation for Dynamic Optimization Problems

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

    Research output: Scholarly Books | Reports | Literary WorksBook (Editor)Researchpeer-review

Cite this