Simulated annealing technique for multiobjective optimization of intelligent structures

Aditi Chattopadhyay, Charles E. Seeley

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

A multiobjective optimization procedure is developed to address the combined problems of the synthesis of structures/controls and the actuator-location problem for the design of intelligent structures. Continuous and discrete variables are treated equally in the formulation. Multiple and conflicting design objectives such as vibration reduction, dissipated energy, power and a performance index are included by utilizing an efficient multiobjective optimization formulation. Piezoelectric materials are used as actuators in the control system. A simulated annealing algorithm is used for optimization and an approximation technique is used to reduce computational effort. A numerical example using a cantilever box beam demonstrates the utility of the optimization procedure when compared with a previous nonlinear programming technique.

Original languageEnglish (US)
Pages (from-to)98-106
Number of pages9
JournalSmart Materials and Structures
Volume3
Issue number2
DOIs
StatePublished - Jun 1994

Fingerprint

smart structures
Intelligent structures
simulated annealing
Multiobjective optimization
Simulated annealing
Actuators
optimization
Piezoelectric materials
Nonlinear programming
box beams
actuators
nonlinear programming
Control systems
formulations
vibration
synthesis
approximation
energy

ASJC Scopus subject areas

  • Materials Science(all)
  • Electrical and Electronic Engineering
  • Signal Processing
  • Mechanics of Materials
  • Condensed Matter Physics
  • Civil and Structural Engineering
  • Atomic and Molecular Physics, and Optics

Cite this

Simulated annealing technique for multiobjective optimization of intelligent structures. / Chattopadhyay, Aditi; Seeley, Charles E.

In: Smart Materials and Structures, Vol. 3, No. 2, 06.1994, p. 98-106.

Research output: Contribution to journalArticle

@article{a5ffe4a576364dc2b7274fbf853d9574,
title = "Simulated annealing technique for multiobjective optimization of intelligent structures",
abstract = "A multiobjective optimization procedure is developed to address the combined problems of the synthesis of structures/controls and the actuator-location problem for the design of intelligent structures. Continuous and discrete variables are treated equally in the formulation. Multiple and conflicting design objectives such as vibration reduction, dissipated energy, power and a performance index are included by utilizing an efficient multiobjective optimization formulation. Piezoelectric materials are used as actuators in the control system. A simulated annealing algorithm is used for optimization and an approximation technique is used to reduce computational effort. A numerical example using a cantilever box beam demonstrates the utility of the optimization procedure when compared with a previous nonlinear programming technique.",
author = "Aditi Chattopadhyay and Seeley, {Charles E.}",
year = "1994",
month = "6",
doi = "10.1088/0964-1726/3/2/003",
language = "English (US)",
volume = "3",
pages = "98--106",
journal = "Smart Materials and Structures",
issn = "0964-1726",
publisher = "IOP Publishing Ltd.",
number = "2",

}

TY - JOUR

T1 - Simulated annealing technique for multiobjective optimization of intelligent structures

AU - Chattopadhyay, Aditi

AU - Seeley, Charles E.

PY - 1994/6

Y1 - 1994/6

N2 - A multiobjective optimization procedure is developed to address the combined problems of the synthesis of structures/controls and the actuator-location problem for the design of intelligent structures. Continuous and discrete variables are treated equally in the formulation. Multiple and conflicting design objectives such as vibration reduction, dissipated energy, power and a performance index are included by utilizing an efficient multiobjective optimization formulation. Piezoelectric materials are used as actuators in the control system. A simulated annealing algorithm is used for optimization and an approximation technique is used to reduce computational effort. A numerical example using a cantilever box beam demonstrates the utility of the optimization procedure when compared with a previous nonlinear programming technique.

AB - A multiobjective optimization procedure is developed to address the combined problems of the synthesis of structures/controls and the actuator-location problem for the design of intelligent structures. Continuous and discrete variables are treated equally in the formulation. Multiple and conflicting design objectives such as vibration reduction, dissipated energy, power and a performance index are included by utilizing an efficient multiobjective optimization formulation. Piezoelectric materials are used as actuators in the control system. A simulated annealing algorithm is used for optimization and an approximation technique is used to reduce computational effort. A numerical example using a cantilever box beam demonstrates the utility of the optimization procedure when compared with a previous nonlinear programming technique.

UR - http://www.scopus.com/inward/record.url?scp=0028447734&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028447734&partnerID=8YFLogxK

U2 - 10.1088/0964-1726/3/2/003

DO - 10.1088/0964-1726/3/2/003

M3 - Article

VL - 3

SP - 98

EP - 106

JO - Smart Materials and Structures

JF - Smart Materials and Structures

SN - 0964-1726

IS - 2

ER -