Publication detail

Self-organizing Migrating Algorithm for Optimization with General Number of Objectives

KADLEC, P. RAIDA, Z.

Original Title

Self-organizing Migrating Algorithm for Optimization with General Number of Objectives

English Title

Self-organizing Migrating Algorithm for Optimization with General Number of Objectives

Type

conference paper

Language

en

Original Abstract

The paper deals with an extension of a recent multi-objective self-organizing migrating algorithm (MOSOMA) for problems having general number of objectives. Moreover, we propose an extension of a well-known spread metric which is important for comparing various algorithms. The performance of the MOSOMA, a non-dominated sorting genetic algorithm II (NSGA-II) and a strength Pareto evolutionary algorithm 2 (SPEA2) is compared on a suite of benchmark problems. The application of the MOSOMA algorithm is demonstrated on a dielectric filter design.

English abstract

The paper deals with an extension of a recent multi-objective self-organizing migrating algorithm (MOSOMA) for problems having general number of objectives. Moreover, we propose an extension of a well-known spread metric which is important for comparing various algorithms. The performance of the MOSOMA, a non-dominated sorting genetic algorithm II (NSGA-II) and a strength Pareto evolutionary algorithm 2 (SPEA2) is compared on a suite of benchmark problems. The application of the MOSOMA algorithm is demonstrated on a dielectric filter design.

Keywords

MOSOMA, multi-objective benchmark problems, multi-objective spread, dielectric layered band-pass filter.

RIV year

2012

Released

17.04.2012

Publisher

Department of Radio Electronics, Brno University of Technology

Location

Purkyňova 118, 61200 Brno, Czech Republic

ISBN

978-80-214-4468-3

Book

Proceedings of 22nd International Conference Radioelektronika 2012

Pages from

111

Pages to

115

Pages count

5

BibTex


@inproceedings{BUT91580,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="Self-organizing Migrating Algorithm for Optimization with General Number of Objectives",
  annote="The paper deals with an extension of a recent multi-objective self-organizing migrating algorithm (MOSOMA) for problems having general number of objectives. Moreover, we propose an extension of a well-known spread metric which is important for comparing various algorithms. The performance of the MOSOMA, a non-dominated sorting genetic algorithm II (NSGA-II) and a strength Pareto evolutionary algorithm 2 (SPEA2) is compared on a suite of benchmark problems. The application of the MOSOMA algorithm is demonstrated on a dielectric filter design.",
  address="Department of Radio Electronics, Brno University of Technology",
  booktitle="Proceedings of 22nd International Conference Radioelektronika 2012",
  chapter="91580",
  howpublished="print",
  institution="Department of Radio Electronics, Brno University of Technology",
  year="2012",
  month="april",
  pages="111--115",
  publisher="Department of Radio Electronics, Brno University of Technology",
  type="conference paper"
}