|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 148 - Issue 12 |
| Published: Aug 2016 |
| Authors: Mridula Sarkar, Samir Dey, Tapan Kumar Roy |
10.5120/ijca2016911325
|
Mridula Sarkar, Samir Dey, Tapan Kumar Roy . Multi-Objective Neutrosophic Optimization Technique and its Application to Structural Design. International Journal of Computer Applications. 148, 12 (Aug 2016), 31-37. DOI=10.5120/ijca2016911325
@article{ 10.5120/ijca2016911325,
author = { Mridula Sarkar,Samir Dey,Tapan Kumar Roy },
title = { Multi-Objective Neutrosophic Optimization Technique and its Application to Structural Design },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 148 },
number = { 12 },
pages = { 31-37 },
doi = { 10.5120/ijca2016911325 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Mridula Sarkar
%A Samir Dey
%A Tapan Kumar Roy
%T Multi-Objective Neutrosophic Optimization Technique and its Application to Structural Design%T
%J International Journal of Computer Applications
%V 148
%N 12
%P 31-37
%R 10.5120/ijca2016911325
%I Foundation of Computer Science (FCS), NY, USA
In this paper, a multi-objective non-linear neutrosophic optimization (NSO) approach for optimizing the design of plane truss structure with multiple objectives subject to a specified set of constraints has been developed. In this optimum design formulation, the objective functions are the weight of the truss and the deflection of loaded joint; the design variables are the cross-sections of the truss members; the constraints are the stresses in members. A classical truss optimization example is presented here in to demonstrate the efficiency of the neutrosophic optimization approach. The test problem includes a three-bar planar truss subjected to a single load condition. This multi-objective structural optimization model is solved by neutrosophic optimization approach with linear and non-linear membership function. Numerical example is given to illustrate our NSO approach..