Network Structure Based On A Combination Of Improved Genetic Algorithm To Multi-parameter Optimization

This paper proposes a number of improvement measures for multi-parameter optimization of the composite space truss structures according to the characteristic of genetic algorithm.These measures include:①the constraint conditions being introduced to the mathematical model;②the treatment of constraint conditions for composite space truss structure optimization are proposed;③fitness formula is improved based on composite space truss structure optimization;④mixed code for design continuous variables and discrete design variables is used.The MATLAB language to realize the multi-parameter optimization of composite space truss structure is used through improved genetic algorithm.MATLAB language is utilized to realize a number of improvement measures raised by improved genetic algorithm.This paper provides the program of composite space truss structure optimization based on improved genetic algorithm for designers'and researchers' reference.This paper utilizes structural optimization examples to verify the improved genetic algorithm and the optimization program.The examples are the sectional optimization of the 10-trusses plane truss and the sectional optimization of the space truss structure.Compared with other optimization methods,the improved genetic algorithm and the optimization program are verified to be reliable and correct.By optimizing the geometry shape and the section size of the composite space truss structure at the same time,and comparing with other optimization methods,the improved genetic algorithm is verified to be superior to other optimization methods.