Dynamic multiobjective optimization using evolutionary algorithm with kalman filter

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

31 Scopus Citations
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Author(s)

  • Arrchana Muruganantham
  • Yang Zhao
  • Sen Bong Gee
  • Xin Qiu
  • Kay Chen Tan

Detail(s)

Original languageEnglish
Pages (from-to)66-75
Journal / PublicationProcedia Computer Science
Volume24
Publication statusPublished - 2013
Externally publishedYes

Abstract

Multiobjective optimization is a challenging task, especially in a changing environment. The study on dynamic multiobjective optimization is so far very limited. Benchmark problems, appropriate performance metrics, as well as efficient algorithms are required to further the research in this field. In this paper, a Kalman Filter prediction-based evolutionary algorithm is proposed to solve dynamic multiobjective optimization problems. This prediction model uses historical information to predict for future generations and thus, direct the search towards the Pareto optimal solutions. A scoring scheme is then devised to further enhance the performance by hybridizing the Kalman Filter prediction model with the random re-initialization method. The proposed models are tested and analysis of the experiment results are presented. It is shown that the proposed models are capable of improving the performances, as compared to using random re-initialization method alone. The study also suggests that additional features could be added to the proposed models for improvements and much more research in this field is still needed. © 2013 The Authors.

Research Area(s)

  • dynamic multiobjective optimization, evolutionary algorithm, Evolutionary Multiobjective (EMO), Kalman Filter, scoring scheme

Citation Format(s)

Dynamic multiobjective optimization using evolutionary algorithm with kalman filter. / Muruganantham, Arrchana; Zhao, Yang; Gee, Sen Bong; Qiu, Xin; Tan, Kay Chen.

In: Procedia Computer Science, Vol. 24, 2013, p. 66-75.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review