| dc.contributor.author |
Barai, Sudhir Kumar |
|
| dc.date.accessioned |
2021-11-27T04:16:26Z |
|
| dc.date.available |
2021-11-27T04:16:26Z |
|
| dc.date.issued |
2014-05 |
|
| dc.identifier.uri |
http://pdf.blucher.com.br/mechanicalengineeringproceedings/10wccm/18566.pdf |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3690 |
|
| dc.description.abstract |
In this paper a new evolutionary computational paradigm – Artificial Immune
System (AIS) is explored for the optimal design of truss structures. CLONal selection
ALGorithm (CLONALG) which is imitated by the basic principle of adaptive immune
response to the virus stimulus is one of the extensively used models of AIS. Since optimal
design of truss structures involves multi modal search space and being CLONALG proved
very effective in solving multi modal optimization problems, the algorithm is employed for the
task of optimization. The effectiveness of the algorithm is demonstrated for 2D/3D truss
problems. The results are compared with other conventional mathematical approaches and
evolutionary techniques. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Blucher Mechanical Engineering Proceedings |
en_US |
| dc.subject |
Civil Engineering |
en_US |
| dc.subject |
Evolutionary Computation |
en_US |
| dc.subject |
Artificial Immune System |
en_US |
| dc.subject |
Structural Optimization |
en_US |
| dc.title |
STRUCTURAL OPTIMIZATION USING ARTIFICIAL IMMUNE SYSTEM |
en_US |
| dc.type |
Article |
en_US |