Real ant colony optimization as a tool for multi-criteria problems

  • Iwona Nowak Institute of Mathematics, Silesian University of Technology, Gliwice
  • Grzegorz Nowak Institute of Power Engineering and Turbomachinery, Silesian University of Technology, Gliwice
DOI: http://dx.doi.org/10.24423/cames.26

Abstract

This paper presents a population-based heuristic method - a real ant colony optimization (RACO) as a tool for multi-criteria optimization problems. The idea of multi-criteria optimization is discussed and the necessary modifications of RACO are proposed. These modifications made possible to use the method to simultaneously search many Pareto-optimal solutions. The method was numerically tested in problems of benchmark-type and used for solving simple engineering problems. This article presents and discusses all results obtained in tests, and two different approaches to multi-criteria optimization are additionally compared (search then decision and decision then search).

Keywords

multi-objective optimization,

References

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Published
Jan 25, 2017
How to Cite
NOWAK, Iwona; NOWAK, Grzegorz. Real ant colony optimization as a tool for multi-criteria problems. Computer Assisted Methods in Engineering and Science, [S.l.], v. 22, n. 3, p. 255-265, jan. 2017. ISSN 2956-5839. Available at: <https://cames-old.ippt.pan.pl/index.php/cames/article/view/26>. Date accessed: 26 apr. 2025. doi: http://dx.doi.org/10.24423/cames.26.
Citation Formats
Issue
Vol 22 No 3 (2015)
Section
Articles