Optimization method of truss structure size and shape based on harmonic search genetic algorithm

In order to improve the traditional design concept and the lack of optimization of genetic algorithm, and promote the development and innovation of the shape optimization of truss structure, according to the basic principles of harmony search algorithm and genetic algorithm, a new hybrid genetic algorithm-harmony search genetic algorithm was proposed (the mixing of genetic algorithm and harmony search algorithm is to embed the harmony search operator after the operation of the genetic algorithm), and at the same time the cross-variation in the genetic algorithm was adaptively improved in three situations, and elitism and other improvement measures were introduced. In addition, the harmonious search algorithm is processed with mixed variables of discrete variables and continuous variables, and a truss structure shape optimization method based on the harmonic search hybrid genetic algorithm was established. In the optimization process, the two different types of design variables of node coordinates and cross-section area were considered uniformly, which solves the problem of difficulty in coupling of the two types of variables. Through the analysis of two typical examples, the results show that the harmonic search genetic algorithm (HS-GA) has efficient convergence speed and strong global ability. Compared with genetic algorithm (GA), heuristic particle swarm optimization (HPSO) and other optimization algorithms, the optimization effect is obvious, and it is a method suitable for the shape optimization of truss structure.