Multi-objective differential evolution with self-navigation

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

13 Scopus Citations
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Author(s)

  • Ke Li
  • Sam Kwong
  • Ran Wang
  • Jingjing Cao
  • Imre J. Rudas

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages508-513
Publication statusPublished - 2012

Publication series

Name
ISSN (Print)1062-922X

Conference

Title2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
PlaceKorea, Republic of
CitySeoul
Period14 - 17 October 2012

Abstract

Traditional differential evolution (DE) mutation operators explore the search space with no considering the information about the search directions, which results in a purely stochastic behavior. This paper presents a DE variant with self-navigation ability for multi-objective optimization (MODE/SN). It maintains a pool of well designed DE mutation operators with distinct search behaviors and applies them in an adaptive way according to the feedback information from the optimization process. Moreover, we deploy the neural network, which is trained by the extreme learning machine, for mapping an artificially generated solution in the objective space back into the decision space. Empirical results demonstrate that MODE/SN outperforms several state-of-the-art algorithms on a set of benchmark problems with variable linkages. © 2012 IEEE.

Research Area(s)

  • Differential evolution, multi-objective evolutionary algorithm (MOEA), neural network

Citation Format(s)

Multi-objective differential evolution with self-navigation. / Li, Ke; Kwong, Sam; Wang, Ran et al.
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. p. 508-513 6377775.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review