Optimization Design Of Bridge Crane Girder Based On Improved Immune Genetic Algorithm

Bridge crane is indispensable and important lifting equipment in the national economicdevelopment and construction. The main beam bridge structure is an important structuralcomponent of the bridge crane, studied structural optimization method to reduce weight, notonly to save money in large part, has a strong practical value, but also for lifting machinerydevelopment also has important significance.Genetic algorithms are widely used in many fields in recent years, the rapid developmentof an optimization algorithm, but in solving engineering optimization problems, there is oftenpremature convergence, like easy to fall into local optimal solution and so on. Therefore, thispaper propose a newly mix algorithm-Adaptive Immune Genetic Algorithm(AIGA for short)by study the theory of genetic algorithms and artificial immune algorithm and try to make useof the advantages of the two algorithms and improve it. Genetic Algorithms as the basicframework, the operator and the selection method of integration into Artificial ImmuneAlgorithm. Using adaptive concept, design innovative adaptive crossover and mutationprobability formula, compared immune genetic algorithm operator of fixed values,introducing the concept of adaptive optimization process can intelligently adjust and improvethe optimization speed and increasing the diversity of antibody population. The algorithm isproposed for some of the shortcomings of the basic genetic algorithm, the improved method.The new algorithm is proposed, which focus on the shortcomings of basic genetic algorithm,to find the solutions. And this hybrid algorithm is applied to the optimization of thecross-sectional dimension of the bridge crane girder track box. Optimization results show thatthe dimension of the emperor beam cross-sectional area is reduced by13.6%than the originalmodel, it makes more pronounced effect, save steel and weight reduction. To verify therationality of the optimization model, the paper analyse and find ways by using modeloptimized imported into ANSYS Workbench and the date verify the feasibility of thealgorithm applied to the bridge crane girder.