A New Metaheuristic Optimization Algorithm, the Weighted Attraction Method

Authors

  • G. Friedl Széchenyi István University
  • M. Kuczmann Széchenyi István University

DOI:

https://doi.org/10.14513/actatechjaur.v8.n3.381

Keywords:

Weighted Attraction Method, metaheuristics, global optimization, swarm intelligence

Abstract

The paper presents a novel, particle behavior--based metaheuristic global optimization method. The idea behind the algorithm is based on attraction between particles, and in some aspects it is similar to the particle swarm optimization, but the interaction between particles is realized in a completely different way. The paper shows the main steps of the technique and some possible modifications. After that the comparison of efficiency and the speed of convergence with different well-known algorithms on two objective functions will be shown.

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Author Biographies

G. Friedl, Széchenyi István University

Department of Automation, Assistant lecturer

M. Kuczmann, Széchenyi István University

Department of Automation, Full professor, Dean, Head of department

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Published

2015-07-30

How to Cite

Friedl, G., & Kuczmann, M. (2015). A New Metaheuristic Optimization Algorithm, the Weighted Attraction Method. Acta Technica Jaurinensis, 8(3), pp. 257–266. https://doi.org/10.14513/actatechjaur.v8.n3.381

Issue

Vol. 8 No. 3 (2015)

Section

Information Technology and Electrical Engineering
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