http://www.iaeme.com/IJCIET/index.asp 358 editor@iaeme.com International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 8, August 2018, pp. 358–364, Article ID: IJCIET_09_08_036 Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=9&IType=8 ISSN Print: 0976-6308 and ISSN Online: 0976-6316 © IAEME Publication Scopus Indexed STRUCTURAL ANALYSIS OF A GENETIC ALGORITHM OPTIMIZED STEEL TRUSS STRUCTURE ACCORDING TO BS 5950 A.N. Ede, O.O. Oshokoya, J.O. Oluwafemi, S.O. Oyebisi, O.M. Olofinnade Civil Engineering Department, College of Engineering, Covenant University, Ota, Ogun State, Nigeria ABSTRACT A modern technique in structural optimization known as genetic algorithm was implemented in this paper to optimize a plane steel truss structure under point loadings and is subject to stress and displacement and buckling constraints. The genetic algorithm was developed in the MATLAB software. The genetic algorithm was run thrice on the plane truss structure and the run with the best result was picked as the final optimized truss structure. For each run a minimum of 500 initial population was set. The optimized truss structure gotten from the algorithm were analyzed and designed under dead and imposed loadings to compare and determine the percentage weight reduction and check the feasibility of the optimized truss structure. The software used to analyze and design according to British standard for steel design, BS 5950 was the SAP 2000 software. The results of the analysis and design in the SAP 2000 software showed the feasibility of the optimized truss as it passed all stress and displacement checks. The weight of the original truss problem in the SAP model gave a total weight of 5970.723496 Kg, while the weight of the optimized truss gave a total weight of 3147.1994 Kg showing a weight reduction of about 52%. Key words: Structural Optimization, Genetic Algorithm, Steel Truss. Cite this Article: A.N. Ede, O.O. Oshokoya, J.O. Oluwafemi, S.O. Oyebisi, O.M. Olofinnade, Structural Analysis of a Genetic Algorithm Optimized Steel Truss Structure According to BS 5950. International Journal of Civil Engineering and Technology, 9(8), 2018, pp. 358-364. http://www.iaeme.com/IJCIET/issues.asp?JType=IJCIET&VType=9&IType=8 1. INTRODUCTION Design engineers over the years have been tasked with the responsibility of providing engineering projects that meet specific needs in the society while using as little resources as possible. The major principles that guide designs in engineering are functionality, economy, safety and aesthetics, and an engineer is required to use resources available to him optimally to achieve all these aspects of a design [1]. This has posed engineers with the challenge of developing ways to achieve this optimality in design without compromising the other aspects of the design. This process of finding the best design under certain constraints of time and