Abstract
In real world, the structural engineering design problems are large scale non-linear constrained problems. In the present study, crow search algorithm (CSA) is applied to find the optimal solution of structural engineering design problems such as pressure vessel design problem, welded beam design problem and tension/ compression string design problem. The numerical results are compared with the existing results reported in the literature including metaheuristic algorithms and it is found that the results obtained by the crow search algorithm are better than other existing algorithms. Further, the effectiveness of the algorithm is verified to be better than the existing algorithms by statistical analysis using mean, median, best case, and worst case scenarios. The present study confirms that the crow search algorithm may be easily and effectively applied to various structural design problems.
Highlights
Design optimization is the process of finding the optimal values of various parameters defining the problem, which provides the best value of the objective function
A crow search algorithm is applied to various structural engineering design problems such as Pressure vessel design optimization, Welded beam design optimization, Tension/Compression string design optimization
The numerical results are compared with the various existing optimization algorithms including metaheuristic algorithms and it is found that the results obtained by the crow search algorithm are better than others
Summary
We come across various problems for which we need to find the optimum solution. There can be a large number of feasible solutions for the given problem and an appropriate optimization technique is used to find the most optimal solution Though some of these problems can be solved using traditional methods but a lot of problems are non-linear and include mixed design variables under complex constraints, due to which traditional methods fail (Michalewicz, 1994). For such problems, Metaheuristic algorithms (Lee and Geem, 2005), which have been found effective for global optimization, are applied (Yang, 2011). Nature inspired algorithm known as the crow search algorithm (Zolghadr and Bozorg, 2018) has been applied for solving the structural engineering design problems. Structural Optimization Problems The crow search algorithm has been applied on various structural engineering design problems, including their different versions
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