Paper Title:
Optimization of Temperature-Dependent Functionally Graded Material Based on Colonial Competitive Algorithm
  Abstract

A functionally graded material is optimized for thermal buckling. The buckling problem is formulated where temperature-dependence constituents’ properties are included. Then the Colonial Competitive Algorithm (CCA) is used for optimization of critical thermal buckling load with variation thickness. The results CCA optimization is compared with third order shear deformation theory and another optimum method based on Genetic Algorithm (GA).

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4575-4580
DOI
10.4028/www.scientific.net/AMM.121-126.4575
Citation
H. Mozafari, B. Abdi, A. Amran, "Optimization of Temperature-Dependent Functionally Graded Material Based on Colonial Competitive Algorithm", Applied Mechanics and Materials, Vols. 121-126, pp. 4575-4580, 2012
Online since
October 2011
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Price
$32.00
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