摘要
针对工程中的变量离散化问题,提出了一种将遗传算法和模拟退火算法相结合的混合算法。该算法发挥了遗传算法和模拟退火算法的优越性,避免了遗传算法的早熟收敛问题,增强了算法的全局收敛性,并提高了算法的收敛速度。通过对桥式起重机金属结构进行优化,其结果与MDOD和改进遗传算法2种的结果进行比较,表明此算法能够很好处理工程离散化问题。
In view of variable discretization problem in engineering, the paper presents a hybrid algorithm combined with a genetic algorithm and simulated annealing one, which makes full use of advantages of both. It solves premature problem of genetic algorithm, intensifies global convergence and raises speed of convergence. The structure of a bridge crane is optimized and the re- sults shows that it is a better way to deal with discretization problem in engineering, compared with MDOD and improved genetic algorithm.
出处
《起重运输机械》
北大核心
2006年第10期19-23,共5页
Hoisting and Conveying Machinery
关键词
桥式起重机
离散变量
混合遗传算法
模拟退火算法
bridge crane
discrete variables
hybrid genetic algorithm
simulated annealing algorithm
