Paper Title :Truss Optimization using Genetic Algorithm

Author :Maksym Grzywinski, Jacek Selejdak

Article Citation :Maksym Grzywinski ,Jacek Selejdak , (2019 ) " Truss Optimization using Genetic Algorithm " , International Journal of Advances in Mechanical and Civil Engineering (IJAMCE) , pp. 21-23, Volume-6,Issue-4

Abstract : In this paper, a genetic algorithm is proposed to solve the weight minimization problem of truss structures considering shape, and sizing design variables. Design variables are discrete or/and continuous. The design of truss structures is optimized by an efficient optimization algorithm called Teaching-Learning-Based Optimization (TLBO). The process of TLBO is divided into two parts: the first part consists of the „Teacher phase‟ and the second part consists of the „Learner phase‟. Analyses of structures are performed by a finite element code in MATLAB which is used in conjunction with an optimization code based on TLBO. The effectiveness of TLBO algorithm is demonstrated through benchmark truss 18-bar, and compare with results in references. Keywords–Planar Truss, Size And Shape Optimization, Discrete And Continuous Variables, TLBO Algorithm.

Type : Research paper

Published : Volume-6,Issue-4

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