Multi-population inflationary differential evolution algorithm with adaptive local restart

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
192 Downloads (Pure)

Abstract

In this paper a Multi-Population Inflationary Differential Evolution algorithm with Adaptive Local Restart is presented and extensively tested over more than fifty test functions from the CEC 2005, CEC 2011 and CEC 2014 competitions. The algorithm combines a multi-population adaptive Differential Evolution with local search and local and global restart procedures. The proposed algorithm implements a simple but effective mechanism to avoid multiple detections of the same local minima. The novel mechanism allows the algorithm to decide whether to start or not a local search. The local restart of the population, which follows the local search, is, therefore, automatically adapted.
Original languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
Pages632-639
Number of pages8
DOIs
Publication statusPublished - 10 Sep 2015
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: 25 May 201528 May 2015

Conference

ConferenceIEEE Congress on Evolutionary Computation, CEC 2015
CountryJapan
CitySendai
Period25/05/1528/05/15

Keywords

  • global optimization
  • differential evolution
  • multi-population algorithm
  • adaptive algorithm

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  • Research Output

    • 3 Citations
    • 1 Article

    Adaptive multi-population inflationary differential evolution

    Di Carlo, M., Vasile, M. & Minisci, E., 15 Jul 2019, In : Soft Computing. 31 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Citation (Scopus)
    10 Downloads (Pure)

    Cite this

    Di Carlo, M., Vasile, M., & Minisci, E. (2015). Multi-population inflationary differential evolution algorithm with adaptive local restart. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 632-639). [7256950] https://doi.org/10.1109/CEC.2015.7256950