Publication result detail

Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters

KADLEC, P.; RAIDA, Z.; DŘÍNOVSKÝ, J.

Original Title

Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters

English Title

Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters

Type

WoS Article

Original Abstract

In this paper, we investigate the sensitivity of a novel Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) on setting its control parameters. Usually, efficiency and accuracy of searching for a solution depends on the settings of a used stochastic algorithm, because multi-objective optimization problems are highly non-linear. In the paper, the sensitivity analysis is performed exploiting a large number of benchmark problems having different properties (the number of optimized parameters, the shape of a Pareto front, etc.). The quality of solutions revealed by MOSOMA is evaluated in terms of a generational distance, a spread and a hyper-volume error. Recommendations for proper settings of the algorithm are derived: These recommendations should help a user to set the algorithm for any multi-objective task without prior knowledge about the solved problem.

English abstract

In this paper, we investigate the sensitivity of a novel Multi-Objective Self-Organizing Migrating Algorithm (MOSOMA) on setting its control parameters. Usually, efficiency and accuracy of searching for a solution depends on the settings of a used stochastic algorithm, because multi-objective optimization problems are highly non-linear. In the paper, the sensitivity analysis is performed exploiting a large number of benchmark problems having different properties (the number of optimized parameters, the shape of a Pareto front, etc.). The quality of solutions revealed by MOSOMA is evaluated in terms of a generational distance, a spread and a hyper-volume error. Recommendations for proper settings of the algorithm are derived: These recommendations should help a user to set the algorithm for any multi-objective task without prior knowledge about the solved problem.

Keywords

MOSOMA, sensitivity, control parameters, multi-objective optimization

Key words in English

MOSOMA, sensitivity, control parameters, multi-objective optimization

Authors

KADLEC, P.; RAIDA, Z.; DŘÍNOVSKÝ, J.

RIV year

2014

Released

01.04.2013

Publisher

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

Location

Purkyňova 118, 61200 Brno, Czech Republic

ISBN

1210-2512

Periodical

Radioengineering

Volume

22

Number

1

State

Czech Republic

Pages from

296

Pages to

308

Pages count

13

URL

http://radioeng.cz/fulltexts/2013/13_01_0296_0308.pdf

BibTex

@article{BUT99185,
  author="Petr {Kadlec} and Zbyněk {Raida} and Jiří {Dřínovský}",
  title="Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters",
  journal="Radioengineering",
  year="2013",
  volume="22",
  number="1",
  pages="296--308",
  issn="1210-2512",
  url="http://radioeng.cz/fulltexts/2013/13_01_0296_0308.pdf"
}