Hybridized Particle Swarm Optimization for Constrained Problems

Izdanje: Proceedings of The International Scientific Conference on Information Technology and Data Related Research Sinteza 2019

DOI: 10.15308/Sinteza-2019-17-25

Oblast: Optimisation and Modeling

Stranice: 17-25

Apstrakt:
This paper presents hybridized implementation of the well-known particle swarm optimization algorithm that belongs to the family of swarm intel- ligence metaheuristics. The proposed approach was adapted for tackling constrained optimization problems. With the basic goals to enhance the converge of the algorithm and to improve the exploitation – exploration tradeoff, the mechanism that replaces exhausted solutions from the popula- tion with randomly generated solutions from the search domain was adopted from the artificial bee colony approach. Proposed metaheuristic was tested on standard constrained engineering benchmark, and comparative analysis with other state-of-the-art algorithms was conducted. Empirical results ob- tained from practical simulations proved that the hybridized particle swarm optimization for constrained problems is able to successfully tackle this type of NP hard challenges.
Ključne reči: particle swarm optimization, NP hardness, constrained optimization, engi- neering problems, swarm intelligence
Priložene datoteke:
  • 17-25 ( veličina: 331,41 KB, broj pregleda: 188 )

Preuzimanje citata:

BibTeX format
@article{article,
  author  = {N. Bačanin Džakula, I. Štrumberger, E. Tuba and M. Tuba}, 
  title   = {Hybridized Particle Swarm Optimization for Constrained Problems},
  journal = {Proceedings of The International Scientific Conference on Information Technology and Data Related Research Sinteza 2019},
  year    = 2019,
  pages   = {17-25},
  doi     = {10.15308/Sinteza-2019-17-25}
}
RefWorks Tagged format
RT Conference Proceedings
A1 Nebojša Bačanin Džakula
A1 Ivana Štrumberger
A1 Eva Tuba
A1 Milan Tuba
T1 Hybridized Particle Swarm Optimization for Constrained Problems
AD Univerzitet Singidunum, Beograd, Beograd, Srbija
YR 2019
NO doi: 10.15308/Sinteza-2019-17-25
Unapred formatirani prikaz citata
N. Bačanin Džakula, I. Štrumberger, E. Tuba and M. Tuba, Hybridized Particle Swarm Optimization for Constrained Problems, Univerzitet Singidunum, Beograd, 2019, doi:10.15308/Sinteza-2019-17-25