International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 148 - Issue 12 |
Published: Aug 2016 |
Authors: Mridula Sarkar, Samir Dey, Tapan Kumar Roy |
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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..