Publication detail

Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods

KADLEC, P. RAIDA, Z.

Original Title

Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods

Type

conference paper

Language

English

Original Abstract

In the paper, three algorithms for the multi-objective optimization based on the strategy of a self-organized migration are compared. The first two algorithms - Weighted Sum Method and Rotated Weighted Metric Method - transform multiple objectives into a single fitness function. The third method - a novel MOSOMA - combines the principle of the non-dominated sorting of population in the objective space and the survey of the decision space of input variables based on the self-organized migration. All three algorithms are compared on the test problem with the Pareto front, which contains both convex and non-convex parts. Monitored parameters are generational distance, spread of solutions and CPU time.

Keywords

MOSOMA, multi-objective optimization, weighted sum method, rotated weighted metric method.

Authors

KADLEC, P.; RAIDA, Z.

RIV year

2011

Released

20. 4. 2011

Publisher

Department of Radio Electronics, Brno University of Technology

Location

Purkyňova 118, 61200 Brno, Czech Republic

ISBN

978-1-61284-322-3

Book

Proceedings of 21st International Conferrence Radioelktronika 2011

Pages from

97

Pages to

100

Pages count

4

URL

http://www.radioelektronika.cz

BibTex

@inproceedings{BUT36066,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods",
  booktitle="Proceedings of 21st International Conferrence Radioelktronika 2011",
  year="2011",
  pages="97--100",
  publisher="Department of Radio Electronics, Brno University of Technology",
  address="Purkyňova 118, 61200 Brno,
Czech Republic",
  isbn="978-1-61284-322-3",
  url="http://www.radioelektronika.cz"
}