Publication detail

A Novel Multi-Objective Self-Organizing Migrating Algorithm

KADLEC, P. RAIDA, Z.

Original Title

A Novel Multi-Objective Self-Organizing Migrating Algorithm

Type

journal article in Web of Science

Language

English

Original Abstract

In the paper, a novel stochastic Multi-Objective Self Organizing Migrating Algorithm (MOSOMA) is introduced. For the search of optima, MOSOMA employs a migration technique used in a single-objective Self Organizing Migrating Algorithm (SOMA). In order to obtain a uniform distribution of Pareto optimal solutions, a novel technique considering Euclidian distances among solutions is introduced. MOSOMA performance was tested on benchmark problems and selected electromagnetic structures. MOSOMA performance was compared with the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2). MOSOMA excels in the uniform distribution of solutions and their completeness.

Keywords

Multi-objective optimization, self-organizing migrating algorithm, Pareto front of optimal solutions.

Authors

KADLEC, P.; RAIDA, Z.

RIV year

2011

Released

20. 12. 2011

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics

Location

Purkyňova 118, Brno, CZ-61200, CZECH REPUBLIC

ISBN

1210-2512

Periodical

Radioengineering

Year of study

20

Number

4

State

Czech Republic

Pages from

804

Pages to

816

Pages count

13

URL

http://www.radioeng.cz

BibTex

@article{BUT74914,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="A Novel Multi-Objective Self-Organizing Migrating Algorithm",
  journal="Radioengineering",
  year="2011",
  volume="20",
  number="4",
  pages="804--816",
  issn="1210-2512",
  url="http://www.radioeng.cz"
}