Result Details

A Novel Multi-Objective Self-Organizing Migrating Algorithm

KADLEC, P.; RAIDA, Z. A Novel Multi-Objective Self-Organizing Migrating Algorithm. Radioengineering, 2011, vol. 20, no. 4, p. 804-816. ISSN: 1210-2512.
Type
journal article
Language
English
Authors
Kadlec Petr, doc. Ing., Ph.D., UREL (FEEC)
Raida Zbyněk, prof. Dr. Ing., UREL (FEEC)
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.

URL
Published
2011
Pages
804–816
Journal
Radioengineering, vol. 20, no. 4, ISSN 1210-2512
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics
Place
Purkyňova 118, Brno, CZ-61200, CZECH REPUBLIC
UT WoS
000298636800013
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"
}
Departments
Department of Radio Electronics (UREL)
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