Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/3690
Title: | STRUCTURAL OPTIMIZATION USING ARTIFICIAL IMMUNE SYSTEM |
Authors: | Barai, Sudhir Kumar |
Keywords: | Civil Engineering Evolutionary Computation Artificial Immune System Structural Optimization |
Issue Date: | May-2014 |
Publisher: | Blucher Mechanical Engineering Proceedings |
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. |
URI: | http://pdf.blucher.com.br/mechanicalengineeringproceedings/10wccm/18566.pdf http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3690 |
Appears in Collections: | Department of Civil Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.