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基于遗传算法的起重机主梁设计存在收敛速度慢、局部最优和早熟收敛等问题。为优化设计方法,对遗传算法中选择算子和变异算子进行了改进与优化,基于生物优胜劣汰的思想上将保留最优个体的方法融入到遗传算法中,保证最优基因能够迅速遗传到后代,加快收敛,同时采取优化变异最优个体的方法,避免了算法落入到局部最优。应用改进遗传算法和周期性拓扑优化设计方法分别完成起重机主梁的优化设计,计算结果表明:改进遗传算法提高了算法的收敛速率和全局收敛能力,优化了起重机主梁设计方法。
The crane girder design based on genetic algorithm has the problems of slow convergence, local optimum and premature convergence. In order to optimize the design method, the selection operator and mutation operator in genetic algorithm are improved and optimized. Based on the idea that the biological survival of the fittest, the optimal individual is kept in the genetic algorithm and the optimal gene can be rapidly inherited to future generations , Speed up the convergence, and take the method of optimizing the optimal individual variation to avoid the algorithm falling into the local optimum. The optimization design of crane girder is completed by using improved genetic algorithm and periodic topological optimization design method respectively. The results show that the improved GA improves the convergence rate and global convergence ability of crane, and optimizes the design method of crane girder.