Optimization for Steel Frames with Semirigid Connections Based on Hybrid Algorithms

doi:10.12141/j.issn.1000-565X.220494

Abstract

Abstract:

The dolphin echo algorithm (DEA) is a meta-heuristic optimization algorithm that simulates dolphins using echolocation to prey and has efficient search capabilities. By analyzing the basic principle of the dolphin echo algorithm, it is found that the selection mechanism of the algorithm can easily lead to the optimization result falling into the local optimal solution, and the algorithm itself does not have the mechanism to jump out of the local optimal solution. Therefore, to improve the global search ability of the dolphin echo algorithm, the genetic algorithm (GA) was introduced, and a hybrid dolphin echo-genetic algorithm (DEA-GA) was proposed: in each iterative step, the offspring was first generated based on the dolphin echo algorithm, and then the crossover and mutation operations with strong search ability in the genetic algorithm were introduced to generate new offspring. The hybrid algorithm combines the advantages of the dolphin echo algorithm and the genetic algorithm, so it not only has the advantages of fast convergence speed and high efficiency of the dolphin echo algorithm, but also takes the advantage of the strong global optimization ability of the genetic algorithm. Moreover, it overcomes the defects of the dolphin echo algorithm that is easy to generate local optimal solutions and the genetic algorithm that is prone to ‘prematurity’. In this paper, a single-span 5-storey and a two-span 10-storey plane frame were used as examples to establish a mathematical model for the optimization of semi-rigid steel frame structures with the objective function of minimizing the total weight of the structure. Genetic algorithm, dolphin echo algorithm and hybrid algorithm were used respectively, and the optimization process was realized by Matlab programming. The results indicate that the total weight of the structure obtained by the dolphin echo-genetic hybrid algorithm is more than 50% smaller than that of the genetic algorithm, and more than 7% smaller than that of the dolphin echo algorithm, and the trend increases with the increase of design variables. At the same time, the hybrid intelligent optimization algorithm is more efficient and effective in the optimization of complex structures.

Key words: semirigid connection, steel frame, genetic algorithm, dolphin echolocation algorithm, structure optimization

CLC Number:

TU391

QIU Yudong, WANG Zhan, XIE Zhishen. Optimization for Steel Frames with Semirigid Connections Based on Hybrid Algorithms[J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(6): 72-77.

Figures/Tables 5

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