Fuzzy Optimization Design Of RC Frame Structure Based On Quasi-Full Internal Force Genetic Algorithm

The reinforced concrete structure(RC structure)has the characteristics of complicated design variables and constraints,and the design variables are selected according to the modulus,which is generally a discrete variable.Therefore,the RC structure optimization design is more complicated than the rod structure,and its optimization design develops slowly.In order to solve the problem of RC structure optimization design,this paper establishes a new penalty function with variable penalty factor,and improves the fitness function of genetic algorithm.A new improved genetic algorithm is proposed.A proposed full internal force method for multi-objective and multi-variable RC structure optimization problems is proposed.At the same time,in order to reduce the probability of premature occurrence in the optimization process of genetic algorithm,combining the proposed internal force with the improved genetic algorithm,the decoding formula of the proposed full internal force and genetic algorithm is proposed.The RC framework structure model is used to verify the effectiveness of the proposed algorithm.Because there are many uncertain factors in the actual structural engineering,when the RC structure optimization design is carried out,the multi-objective fuzzy optimization mathematical model of the RC structure is established,with the lowest cost and the positive section bearing capacity of each unit.The goal is to use the hierarchical sequence method to clarify the RC multi-objective fuzzy optimization problem,and use the full internal force hybrid genetic algorithm to calculate its fuzzy optimization solution.This paper uses C++Builder6.0 software to compile the corresponding program software,including improved genetic algorithm,pseudo-full internal force method,hybrid genetic algorithm,fuzzy optimization design and internal force calculation program software suitable for the algorithm.By optimizing the design of several RC structures and comparing with the related literatures,the results show that the hybrid design of the proposed full internal force genetic algorithm has high efficiency.The hybrid genetic algorithm can not only play the standard genetic algorithm global optimization.The effect is good,and the local optimization can be performed by using the full internal force.When the two algorithms are used alone,the optimization effect is obvious,and the optimization result is ideal.