Result Details

Critical Comparison of Multi-objective Optimization Methods: Genetic Algorithms versus Swarm Intelligence

ŠEDĚNKA, V.; RAIDA, Z. Critical Comparison of Multi-objective Optimization Methods: Genetic Algorithms versus Swarm Intelligence. Radioengineering, 2010, vol. 19, no. 3, p. 369-377. ISSN: 1210-2512.
Type
journal article
Language
English
Authors
Šeděnka Vladimír, Ing., Ph.D., UREL (FEEC)
Raida Zbyněk, prof. Dr. Ing., CEITEC (CEITEC), UREL (FEEC)
Abstract

The paper deals with efficiency comparison of two global evolutionary optimization methods implemented in MATLAB. Attention is turned to an elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and a novel multi-objective Particle Swarm Optimization (PSO).
The performance of optimizers is compared on three different test functions and on a cavity resonator synthesis. The microwave resonator is modeled using the Finite Element Method (FEM). The hit rate and the quality of the Pareto front distribution are classified.

Keywords

Multi-objective optimization, binary genetic algorithm, particle swarm optimization, Pareto front, finite element method.

Published
2010
Pages
369–377
Journal
Radioengineering, vol. 19, no. 3, ISSN 1210-2512
Publisher
SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, CZECH TECHNICAL UNIVERSITY, DEPT OF ELECTROMAGNETIC FIELD
Place
TECHNICKA 2, PRAHA, CZ-16627, CZECH REPUBLIC
UT WoS
000281871100001
BibTeX 
@article{BUT49757,
  author="Vladimír {Šeděnka} and Zbyněk {Raida}",
  title="Critical Comparison of Multi-objective Optimization Methods: Genetic Algorithms versus Swarm Intelligence",
  journal="Radioengineering",
  year="2010",
  volume="19",
  number="3",
  pages="369--377",
  issn="1210-2512"
}
Departments
Department of Radio Electronics (UREL)
Back to top