Publication detail

A Novel Multi-Objective Self-Organizing Migrating Algorithm

KADLEC, P. RAIDA, Z.

Original Title

A Novel Multi-Objective Self-Organizing Migrating Algorithm

English Title

A Novel Multi-Objective Self-Organizing Migrating Algorithm

Type

journal article in Web of Science

Language

en

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.

English 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.

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

Pages from

804

Pages to

816

Pages count

13

URL

BibTex


@article{BUT74914,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="A Novel Multi-Objective Self-Organizing Migrating Algorithm",
  annote="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.",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics",
  chapter="74914",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics",
  number="4",
  volume="20",
  year="2011",
  month="december",
  pages="804--816",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics",
  type="journal article in Web of Science"
}