摘要
模拟退火算法以随机搜索为基础，以温度足够高为条件，因此收敛速度极为缓慢。为了适应复杂机械产品优化设计，提出一种修正的单纯形法，并用来改进模拟退火算法。该方法既继承了模拟退火方法能避开陷入局部最优的优点，又能搜索到较理想的下降方向，提高了算法的收敛速度。同时提出优化设计的信息模型，构造优化设计的网络关系图，实现了该算法，并成功地应用于抽油机最优化设计。
Because simulated annealing algorithm is based on random searching and adequately high temperature, the convergence speed is very slow. In order to adapt to the optimization of the complex mechanical products, a new simplex method is presented. Then the simulated annealing algorithm is improved by using the new method. Not only the improved simulated algorithm can jump out of local optimal solution, but also it can search for globe optimal solution in ideal direction. As a result, it speeds convergence. And, an information model for optimal design is presented. Then, corresponding computer programs are developed. The techniques are successfully used for pumping unit.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2002年第1期35-38,共4页
Journal of Mechanical Engineering
基金
国家自然科学基金(59635150)
华中科技大学科学研究基金重点资助项目(1100101)
