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An improved differential evolution based on roulette wheel selection for shape and size optimization of truss structures with frequency constraints

Authors: 

V. Ho-Huu, T. Nguyen-Thoi, T. Khac-Truong, L. Le-Anh, T. Vo-Duy

Source title: 
Neural Computing and Applications, 29(1): 167-185, 2016 (ISI)
Academic year of acceptance: 
2016-2017
Abstract: 

Structural optimization with frequency constraints is well known as a highly nonlinear and complex optimization problem with many local optimum solutions. Therefore, to solve such problems effectively, designers need to use adequate optimization methods which can make a good balance between the computational cost and the quality of solutions. In this work, a novel differential evolution (DE) is proposed to solve the shape and size optimization problems for truss structures with frequency constraints. The proposed method, called ReDE, is a new version of the DE algorithm with two improvements. Firstly, the roulette wheel selection is employed to choose members for the mutation phase instead of random selection as in the conventional DE. Secondly, an elitist selection technique is applied to the selection phase instead of basic selection to improve the convergence speed of the method. The efficiency and reliability of the proposed method are demonstrated through five numerical examples. Numerical results reveal that the proposed algorithm outperforms many optimization methods in the literature.