Detail publikace

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

ŠEDĚNKA, V. RAIDA, Z.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ŠEDĚNKA, V.; RAIDA, Z.

Rok RIV

2010

Vydáno

1. 9. 2010

Nakladatel

SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, CZECH TECHNICAL UNIVERSITY, DEPT OF ELECTROMAGNETIC FIELD

Místo

TECHNICKA 2, PRAHA, CZ-16627, CZECH REPUBLIC

ISSN

1210-2512

Periodikum

Radioengineering

Ročník

19

Číslo

3

Stát

Česká republika

Strany od

369

Strany do

377

Strany počet

9

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"
}