On the use of genetic algorithms in structural optimization

This paper is concerned with the use of genetic algorithms (GAs) in size optimum design of planar and space structures made of I-D elements. GAs have proved to be very promising and solid search and optimization techniques. They are particularly very suitable in discrete structural optimization problems. The fundamental points of integrating a GA with structural optimization are discussed. This is followed by a brief explanation of computer implementation and illustrative examples.


Modelling, simulation, synthesis and structural characterization of Ni-Fe based nanoalloys
Irmak, Ece Arslan; Mekhrabov, Amdulla O.; Akdeniz, Mahmut Vedat; Department of Metallurgical and Materials Engineering (2018)
There is a growing interest in the simulation and production of nanoalloys because the unique chemical and physical properties of nanoalloys can be tuned, and completely new structural motifs can be created by varying the type and composition of constituent elements, the atomic ordering, size, and shape of the nanoparticles. As an important magnetic material, Fe-Ni based nanoalloys have promising applications in the chemical industry, aerospace and stealth industry, magnetic biomedical applications and comp...
Investigation of the structural properties of low dimensional nanostructures : molecular dynamics simulations
Özdamar, Burak; Erkoç, Şakir; Department of Physics (2013)
This study aims to investigate the structural and thermodynamic properties of nanostructures which are generated from different atoms and geometries. The nanostructures in question are boron nitride nanoparticles, silicon nanowires along with sawtooth-like graphene nanoribbons. The goal is to calculate the specific heat values of boron nitride nanoparticles while the mechanical properties of the other nanostructures are investigated under uniaxial strain. The structural behaviors of these generated nanopart...
Magnetic properties of multiband U=infinity Hubbard model on anisotropic triangular and rectangular lattice strips
CHERANOVSKII, VO; Esentürk, Okan; PAMUK, HO (1998-11-01)
We study the dependence of the ground state spin of a multiband Hubbard model with infinite electron repulsion on anisotropic triangular and rectangular lattice strips on the model parameters. Considering the results of numerical calculations for the exact spectra of finite triangular lattice strips at different values of hopping integrals, we show the existence of a type of magnetic transitions with the jump of the ground state spin between minimal and maximal values. This transition is found only for spec...
Quantum chemical investigation of thalidomide molecule
Erkoç, Şakir; Erkoc, F (Elsevier BV, 2005-04-14)
The structural and electronic properties of the thalidomide molecule have been investigated theoretically by performing semi-empirical molecular orbital (AM1) and density functional theory calculations. The geometry of the molecule has been optimized by AM1 method and the electronic properties of the molecule have been calculated by density functional theory in its ground state.
Artificial-neural-network prediction of hexagonal lattice parameters for non-stoichiometric apatites
Kockan, Umit; Ozturk, Fahrettin; Evis, Zafer (2014-01-01)
In this study, hexagonal lattice parameters (a and c) and unit-cell volumes of non-stoichiometric apatites of M-10(TO4)(6)X-2 are predicted from their ionic radii with artificial neural networks. A multilayer-perceptron network is used for training. The results indicate that the Bayesian regularization method with four neurons in the hidden layer with a tansig activation function and one neuron in the output layer with a purelin function gives the best results. It is found that the errors for the predicted ...
Citation Formats
F. Erbatur and O. Hasançebi, “On the use of genetic algorithms in structural optimization,” 1997, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55066.