OPTIMIZATION BASED ON COLLECTIVE INTELLIGENCE OF A SWARM OF PARTICLES WITH CONTROL OF THEIR SPEED CHANGE

Authors

  • A. A. Oleynik Zaporizhzhya National Technical University, Ukraine
  • S. A. Subbotyn Zaporozhye National Technical University, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2009-2-18

Abstract

A particle swarm optimization method has been considered. A modification of PSO-method with velocity control has been developed. The experiments on finding global optimum for multidimensional function on the basis of suggested modification has been carried out.

Author Biographies

A. A. Oleynik, Zaporizhzhya National Technical University

Assistant

S. A. Subbotyn, Zaporozhye National Technical University

Ph.D., associate professor

References

Beni G. Swarm Intelligence / Beni G., Wang J. // Annual Meeting of the Robotics Society : proceedings of Seventh International Conference. – Tokyo : RSJ Press, 1989. – P. 425–428.

Bonabeau E. Swarm Intelligence: From Natural to Artificial Systems / Bonabeau E., Dorigo M., Theraulaz G. – New York : Oxford University Press, 1999. – 320 p.

Dorigo M. The Ant System: Optimization by a Colony of Cooperating Agents / Dorigo M., Maniezzo V., Colorni A. // IEEE Transactions on Systems, Man, and Cybernetics. – 1996. – Part B, № 26(1). – P. 29–41.

Oleynyk Al. A. Sravnytelʹnyy analyz metodov optymyzatsyy na osnove metoda muravʹynykh kolonyy / Oleynyk Al. A. // Kompʺyuterne modelyuvannya ta intelektualʹni systemy : zbirnyk naukovykh pratsʹ / za red. D. M. Pizy, S. O. Subbot ina. – Zaporizhzhya : ZNTU, 2007. – S. 147–159.

Camazine S. A Model of Collective Nectar Source by Honey Bees: Self- organization Through Simple Rules / Camazine S., Sneyd J. // Journal of Theoretical Biology. – 1991. – № 149. – P. 547–571.

Sumpter D. J. T. Formalising the Link between Worker and Society in Honey Bee Colonies / Sumpter D. J. T., Broomhead D. S. // Lecture Notes In Computer Science : Proceedings of the First International Workshop on Mul ti-Agent Systems and Agent-Based Simula tion (MABS ʺ98). – Berlin : Springer, 1998. – P. 95–110.

Kennedy J. Particle Swarm Optimization / Kennedy J., Eberhart R. C. // International Conference on Neural Networks : Proceedings of the IEEE. – NJ : IEEE Press, 1995. – P. 1942–1948.

De Castro L. N. Artificial Immune Systems. Part I. Basic Theory And Applications / De Castro L. N., Von Zuben F. J. // Technical Report No. Rt Dca 01/99. – Brazil : Feec/Unicamp, 1999. – 95 p.

Colorni A. Ant System for Job-shop Scheduling / Colorni A., Dorigo M., Maniezzo V., Trubian M. // Belgian Journal of Operations Research, Statistics and Computer Science (JORBEL). – 1994. – № 34. – P. 39–53.

Subbotyn S. A. Otbor ynformatyvnykh pryznakov na osnove modyfytsyrovannoho metoda muravʹynykh kolonyy / Subbotyn S. A., Oleynyk A. A., Yatsenko V. K. // Radioelektronika ta informatyka. – 2006. – № 1. – S. 65–69.

Engelbrecht A. Computational Intelligence: an Introduction / Engelbrecht A. – Sidney : John Wiley and Sons, 2007. – 597 p.

Abraham A. Swarm Intelligence in Data Mining / Abraham A., Grosan G. – Berlin : Springer, 2006. – 267 p.

Published

2024-10-02

How to Cite

Oleynik, A. A., & Subbotyn, S. A. (2024). OPTIMIZATION BASED ON COLLECTIVE INTELLIGENCE OF A SWARM OF PARTICLES WITH CONTROL OF THEIR SPEED CHANGE. Radio Electronics, Computer Science, Control, (2), 96. https://doi.org/10.15588/1607-3274-2009-2-18

Issue

Section

Neuroinformatics and intelligent systems