The extraordinary particle swarm optimization and its application in constrained engineering problems

Thi Thuy Ngo, Ali Sadollah, Do Guen Yoo, Yeon Moon Choo, Sang Hoon Jun, Joong Hoon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The particle swarm optimization (PSO) is a natural-inspire optimization algorithm mimicking the movement behavior of animal flocks for food searching. Although the algorithm presents some advantages and widely application, however, there are several drawbacks such as trapping in local optima and immature convergence rate. To overcome these disadvantages, many improved versions of PSO have been proposed. One of the latest variants is the extraordinary particle swarm optimization (EPSO). The particles in the EPSO are assigned to move toward their own determined target through the search space. The applicability of EPSO is verified by several experiments in engineering optimization problems. The application results show the outperformance of the EPSO than the other PSO variants in terms of solution searching and as well as convergence rate.

Original languageEnglish
Title of host publicationHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
PublisherSpringer Verlag
Pages35-41
Number of pages7
Volume514
ISBN (Print)9789811037276
DOIs
Publication statusPublished - 2017
EventProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain
Duration: 2017 Feb 222017 Feb 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume514
ISSN (Print)21945357

Other

OtherProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
CountrySpain
CityBilbao
Period17/2/2217/2/24

Keywords

  • Engineering optimization problem
  • Extraordinary particle swarm optimization
  • Urban drainage system

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Ngo, T. T., Sadollah, A., Yoo, D. G., Choo, Y. M., Jun, S. H., & Kim, J. H. (2017). The extraordinary particle swarm optimization and its application in constrained engineering problems. In Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Vol. 514, pp. 35-41). (Advances in Intelligent Systems and Computing; Vol. 514). Springer Verlag. https://doi.org/10.1007/978-981-10-3728-3_5