Detail publikace

Multilevel Optimization of Complex Composite Structures with Variable Stiffness, Part I: Description of the Optimization Algorithm

SYMONOV, V.

Anglický název

Multilevel Optimization of Complex Composite Structures with Variable Stiffness, Part I: Description of the Optimization Algorithm

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

en

Originální abstrakt

A multilevel hybrid optimization algorithm is proposed for the weight minimization of complex composite structures with variable stiffness. The key improvements of the algorithm in comparison with the previous ones are the simplification of laminate definition at the upper level using only three parameters, an original guide-based genetic algorithm, a one-dimensional search algorithm based on the "Golden section" method and adopted to integer variable, a parallel optimization, and a simplified upper-to-lower-level coordination procedure.

Anglický abstrakt

A multilevel hybrid optimization algorithm is proposed for the weight minimization of complex composite structures with variable stiffness. The key improvements of the algorithm in comparison with the previous ones are the simplification of laminate definition at the upper level using only three parameters, an original guide-based genetic algorithm, a one-dimensional search algorithm based on the "Golden section" method and adopted to integer variable, a parallel optimization, and a simplified upper-to-lower-level coordination procedure.

Klíčová slova anglicky

two-level optimization algorithm; composite structure; finite-element analysis; genetic algorithm

Vydáno

14.03.2023

Nakladatel

Springer

ISSN

0191-5665

Ročník

59

Číslo

1

Strany od–do

65–76

Počet stran

12

BIBTEX


@article{BUT183239,
  author="Volodymyr {Symonov},
  title="Multilevel Optimization of Complex Composite Structures with Variable Stiffness, Part I: Description of the Optimization Algorithm",
  year="2023",
  volume="59",
  number="1",
  month="March",
  pages="65--76",
  publisher="Springer",
  issn="0191-5665"
}