Publication 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

journal article in Web of Science

Language

en

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

RIV year

2013

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

Pages from

296

Pages to

308

Pages count

13

URL

BibTex


@article{BUT99185,
  author="Petr {Kadlec} and Zbyněk {Raida} and Jiří {Dřínovský}",
  title="Multi-Objective Self-Organizing Migrating Algorithm: Sensitivity on Controlling Parameters",
  annote="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.",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics",
  chapter="99185",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics",
  number="1",
  volume="22",
  year="2013",
  month="april",
  pages="296--308",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication, Dept. of Radio Electronics",
  type="journal article in Web of Science"
}