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

  • Iwona Nowak
  • Grzegorz Nowak

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

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 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/26>. Date accessed: 26 jan. 2022.
Section
Articles