Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@article{BUT49757,
  author="Vladimír {Šeděnka} and Zbyněk {Raida}",
  title="Critical Comparison of Multi-objective Optimization Methods: Genetic Algorithms versus Swarm Intelligence",
  annote="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.",
  address="SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, CZECH TECHNICAL UNIVERSITY, DEPT OF ELECTROMAGNETIC FIELD",
  chapter="49757",
  institution="SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, CZECH TECHNICAL UNIVERSITY, DEPT OF ELECTROMAGNETIC FIELD",
  journal="Radioengineering",
  number="3",
  volume="19",
  year="2010",
  month="september",
  pages="369--377",
  publisher="SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, CZECH TECHNICAL UNIVERSITY, DEPT OF ELECTROMAGNETIC FIELD",
  type="journal article in Web of Science"
}