Detail publikace

Multi-Objective Optimization of Electromagnetic Structures Based on Self-Organizing Migration

KADLEC, P.

Originální název

Multi-Objective Optimization of Electromagnetic Structures Based on Self-Organizing Migration

Typ

dizertace

Jazyk

angličtina

Originální abstrakt

This thesis describes a novel stochastic multi-objective optimization algorithm called MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm). It is shown that MOSOMA is able to solve various types of multi-objective optimization problems (with any number of objectives, unconstrained or constrained problems, with continuous or discrete decision space). The efficiency of MOSOMA is compared with other commonly used optimization techniques on a large suite of test problems. The new procedure based on finding of minimum spanning tree for computing the spread metric for problems with more than two objectives is proposed. Recommended values of parameters controlling the run of MOSOMA are derived according to their sensitivity analysis. The ability of MOSOMA to solve real-life problems from electromagnetics is shown in a few examples (Yagi-Uda and dielectric filters design, adaptive beam forming in time domain...).

Klíčová slova

Multi-objective optimization, self-organizing migrating algorithm, MOSOMA

Autoři

KADLEC, P.

Vydáno

9. 10. 2012

Nakladatel

VUTIUM

Místo

Brno

Strany od

1

Strany do

105

Strany počet

105

BibTex

@phdthesis{BUT99193,
  author="Petr {Kadlec}",
  title="Multi-Objective Optimization of Electromagnetic Structures Based on Self-Organizing Migration",
  publisher="VUTIUM",
  address="Brno",
  pages="1--105",
  year="2012"
}