Publication detail

Multi-objective Self-organizing Migrating Algorithm

KADLEC, P. RAIDA, Z.

Original Title

Multi-objective Self-organizing Migrating Algorithm

Type

book chapter

Language

English

Original Abstract

Almost every optimization problem can be viewed as multi-objective one. Multi-objective problems with conflicting objectives lead to so called Pareto front which expresses trade-off among the objectives. Multi-objective techniques yield better understanding of the solved problem because resulting Pareto front expresses the balance between different objectives. In this chapter, fundamentals of multi-objective optimization are reviewed. Then, multi-objective optimization technique based on principle of self-organizing migration is described. The proposed method is able to solve unconstrained, constrained problems having any number of variables and objectives. The method is designed to find so called non-dominated set that covers the true Pareto front uniformly.

Keywords

MOSOMA, Multiobjective Optimization, Design, Electromagnetics

Authors

KADLEC, P.; RAIDA, Z.

Released

9. 2. 2016

Publisher

Springer International Publishing

ISBN

978-3-319-28161-2

Book

Self-Organizing Migrating Algorithm Methodology and Implementation

Edition

Studies in Computational Intelligence

Pages from

83

Pages to

103

Pages count

21

URL

http://link.springer.com/chapter/10.1007/978-3-319-28161-2_4

BibTex

@inbook{BUT121957,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="Multi-objective Self-organizing Migrating Algorithm",
  booktitle="Self-Organizing Migrating Algorithm Methodology and Implementation",
  year="2016",
  publisher="Springer International Publishing",
  series="Studies in Computational Intelligence",
  pages="83--103",
  doi="10.1007/978-3-319-28161-2\{_}4",
  isbn="978-3-319-28161-2",
  url="http://link.springer.com/chapter/10.1007/978-3-319-28161-2_4"
}