离散变量刚架结构拓扑优化设计的一种新方法

以刚架结构为研究对象，提出一种遗传算法和拟满应力算法相结合的杂交算法，来解决离散变量结构拓扑优化设计问题。利用遗传算法进行刚架结构拓扑优化，用拟满应力算法进行截面优化，可充分发挥两种算法各自的优势，从而加快搜索进程。拓扑优化过程中，在对刚架结构受力分析的基础上，设计了一些启发式技术，使得遗传算法的初始种群中含有足够数量的可行个体，同时对遗传操作过程做了一些改进，从而有效地提高了遗传算法求解的效率和质量。

New Method of Discrete Topology Optimization of Rigid Frame

Regarding the rigid frame as studying object, a hybrid algorithm composed of the imitative full-stress design method and the standard genetic algorithm was proposed for solving the question of discrete topology optimization. Genetic algorithm was used to discrete topology optimization of rigid frame, using the imitative full-stress design method for cross-section optimization, which could make full use of the advantages of the both algorithms and thus enhance the rate of the searching process. In the process of topology optimization, on the basis of stress of rigid frame analyzed, some skills of heuristic means were designed, it made the initial colony of genetic algorithm have enough feasible individuals.Meanwhile its operation was modified and improved, thus the efficiency and quality of genetic algorithm searching solution were improve